Laimoon.com

Data Analytics for Business Leaders - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course equips senior professionals with the ability to leverage data analytics for strategic decision-making. Delegates will explore fundamental analytical techniques, interpret key business metrics, and learn how to drive organisational performance through data-driven insights. With a focus on leadership applications, this programme ensures executives can integrate analytics into business strategy effectively.

Course Outcomes:
Understand the role of data analytics in strategic business decisions
Develop a data-driven approach to leadership and problem-solving
Interpret and apply key performance indicators (KPIs) effectively
Improve forecasting accuracy using predictive analytics
Enhance decision-making with real-time data visualisation tools
Align data insights with organisational objectives
Understand regulatory and ethical considerations in data analytics
Foster a data-driven culture within the organisation
Use storytelling techniques to communicate insights effectively
Identify opportunities for digital transformation using analytics

Who Should Attend:
Managers and functional leaders from large private and public sector organizations seeking to enhance strategic decision-making through data analytics. Past delegates have included:
\n
Business Analyst
Data Insights Manager
Operations Team Lead
Marketing Analytics Specialist
Project Manager

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Data-Driven Business Strategy

Using analytics to shape business strategy
Identifying key business metrics and KPIs
Scenario planning and decision support systems
Data governance and risk management

Leading a Data-Driven Organisation

Developing a data-driven culture
Overcoming organisational resistance to data adoption
Ethical considerations in data-driven decision-making
Case studies on data-driven leadership

Cost: 4850 GBP

Duration: 5 Days

Cybersecurity Analytics and Risk Management - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course focuses on the application of data analytics in cybersecurity and risk management. Delegates will learn how to use analytics to detect threats, assess vulnerabilities, and develop proactive security strategies to protect organisational assets.

Course Outcomes:
Apply data analytics for real-time threat detection
Strengthen cybersecurity frameworks with AI-driven insights
Identify patterns of fraudulent and malicious activities
Use predictive models to anticipate security breaches
Implement data governance and compliance measures
Improve incident response through automated analytics
Analyse cyber risk exposure and mitigation strategies
Enhance regulatory reporting and compliance monitoring
Strengthen cloud security with data analytics
Develop an integrated risk management framework

Who Should Attend:
Cybersecurity and IT risk professionals responsible for threat detection, risk assessment, and implementing data-driven security strategies. Past delegates have included:
\n
Cyber Threat Analyst
IT Risk and Compliance Officer
Security Operations Center (SOC) Analyst
Data Protection Specialist
Information Security Consultant

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Cyber Threat Intelligence and Data Analytics

AI-driven threat detection and response
Data analytics in fraud detection
Behavioural analytics for insider threat detection
Case studies on cybersecurity breaches

Risk Analytics and Compliance Management

Data-driven risk assessment frameworks
Compliance and regulatory analytics (GDPR, ISO 27001)
Incident response automation with analytics
Risk mitigation strategies using predictive modelling

Cost: 4850 GBP

Duration: 5 Days

Customer and Marketing Analytics for Business Growth - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course is designed for marketing, sales, and customer experience professionals who want to leverage data analytics to enhance customer engagement, optimise campaigns, and drive business growth. Delegates will learn advanced customer segmentation, behavioural analytics, and ROI measurement techniques.

Course Outcomes:
Use data analytics to improve customer acquisition and retention
Develop data-driven marketing campaigns
Implement advanced customer segmentation and targeting
Measure marketing ROI using analytics tools
Enhance customer experience with predictive modelling
Apply sentiment analysis and social media analytics
Optimise pricing strategies through data insights
Automate personalised marketing with AI
Use A/B testing to refine marketing strategies
Develop dashboards for real-time marketing performance monitoring

Who Should Attend:
Marketing, sales, and customer experience professionals aiming to use data analytics for campaign optimization and business growth. Past delegates have included:
\n
Marketing Data Analyst
CRM Campaign Manager
Digital Marketing Specialist
Customer Insights Analyst

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Customer Behaviour and Segmentation Analytics

Data-driven customer profiling and segmentation
Predicting customer churn and retention strategies
Sentiment analysis and text analytics in marketing
Case studies on customer analytics success

Marketing Performance Optimisation

A/B testing and marketing experimentation
ROI measurement using data-driven insights
Personalisation and AI-driven marketing automation
Real-time analytics for campaign optimisation

Cost: 4850 GBP

Duration: 5 Days

Big Data Analytics for Digital Transformation - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course is designed for professionals leading digital transformation initiatives who need to harness big data analytics to drive innovation and competitive advantage. Delegates will learn how to extract insights from vast datasets, apply AI-driven analytics, and integrate big data into business strategy.

Course Outcomes:
Understand the role of big data in digital transformation
Integrate big data analytics into business models
Utilise cloud computing and big data architectures
Leverage AI and machine learning for advanced analytics
Implement real-time data analytics for agile decision-making
Enhance customer experience through data-driven insights
Optimise operations using big data automation
Improve cybersecurity with data analytics tools
Drive innovation through data-led experimentation
Develop scalable data governance frameworks

Who Should Attend:
Mid-level IT and business professionals driving digital transformation through big data and analytics for innovation and competitive advantage. Past delegates have included:
\n
Digital Transformation Project Manager
Business Intelligence Analyst
IT Strategy Consultant
Data Engineering Lead
Innovation Program Manager

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Big Data and AI in Digital Transformation

Fundamentals of big data technologies (Hadoop, Spark)
AI and machine learning in big data analytics
Cloud-based data platforms and architectures
Real-world applications of big data in business

Implementing Data-Driven Innovation

Creating a data-driven innovation culture
Digital product development with analytics
Data governance and ethical AI considerations
Case studies on digital transformation success

Cost: 4850 GBP

Duration: 5 Days

Advanced Data Analytics for Financial Services - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course is tailored for professionals in the financial sector who need to harness data analytics for risk management, fraud detection, and strategic financial planning. Delegates will gain a deep understanding of financial modelling, regulatory compliance, and AI-driven insights for improved decision-making.

Course Outcomes:
Use analytics to enhance financial risk management
Detect fraud and anomalies using advanced data techniques
Apply predictive models to market and credit risk analysis
Improve investment strategies with data-driven insights
Ensure regulatory compliance using data monitoring tools
Strengthen financial forecasting and scenario modelling
Optimise revenue streams through customer analytics
Automate financial decision-making with AI-driven insights
Enhance reporting and financial dashboard creation
mprove capital allocation using data science techniques

Who Should Attend:
Finance professionals and middle managers in the financial sector seeking to leverage data analytics for risk management, fraud detection, and strategic planning. Past delegates have included:
\n
Financial Risk Analyst
Compliance Data Specialist
Investment Operations Manager
Credit Risk Analyst
Treasury Data Analyst

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Data Analytics in Financial Risk Management

Credit scoring and risk modelling
Fraud detection using AI and machine learning
Stress testing and scenario analysis
Regulatory compliance through data analytics

Financial Modelling and Investment Analytics

Predictive analytics in investment decisions
Algorithmic trading and quantitative modelling
Customer segmentation and revenue optimisation
Data-driven portfolio management

Cost: 4850 GBP

Duration: 5 Days

Strategic Information Technology - Level 2 - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This intermediate course builds on IT strategy fundamentals, focusing on integrating IT systems with corporate strategy, governance, and the measurement of IT investments strategic impact.

Course Outcomes:
Appreciate the advantages and risks of corporate and internet computing, in achieving financial, efficiency and other objectives
Explain the costs, economics and opportunities provided by the corporate computing systems, the internet, cloud computing, open standards and social media
Create plans to introduce efficient enterprise computing systems, cloud computing and Software as a Service (SaaS)
Create plans for the application and management of ERP, CRM and IT projects using agile project management to achieve efficient and reliable and effective performance

Who Should Attend:
Senior financial executives, managers and professionals, who need to understand the impact and opportunities provided by advances in IT, the internet, social media, cloud and open standards, in order to inform the board of emerging IT risks and opportunities
Financial executives, managers and professionals, responsible for budgets and projects
Senior company executives who are in charge of change management, ERP, CRM and IT projects

Course Topics:
IT Strategy

Advances in IT and developments in corporate computing
IT applications security and architecture
Issues in formulating IT strategy to meet organisational needs
Current themes and trends open standards and the new digital environment
The IT strategy framework
Where and how to start
Common mistakes and SWOT

Cloud computing

The economic case for cloud computing
The opportunities from cloud computing: SaaS IaaS PaaS etc
Cloud issues: security confidentiality performance limitations (big data and content)
Purchasing and procurement of cloud
Cloud as an opportunity to upgrade and to rethink data and processes
What is SOA and should I care?

Enterprise Resource Planning (ERP)

ERP and workflow history and economic
Functionality and vendor analysis
ERP pitfalls
ERP and open standards
Common mistakes and SWOT

Customer Relationship Management (CRM)

Second generation CRM and functionality
Selecting and specifying your CRM on-premise v cloud
Marketing analysis and campaigns 360 relationships and social media
The application of CRM in public and private sector (sales v. citizen interactions)
Common mistakes and SWOT

Management Information and Financial Systems

Selecting and specifying your financial system including appraisal against IFRS
Managing a large organisation meeting board management and regulatory needs
The impact of cloud and big data issues
Data efficiency utilisation and control avoiding data silos
Business Intelligence and an integrated view of the organisation

Cost: 4250 GBP

Duration: 5 Days

Web Analytics and Data-Driven Decision Making - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
Unlock the power of data with our Data-Driven Decision Making course. Learn to harness data analysis tools and techniques to drive strategic decisions, enhance business performance, and gain a competitive edge. Through hands-on exercises and real-world case studies, youll develop skills to interpret data effectively, make informed decisions, and achieve measurable results. Ideal for professionals aiming to leverage data for impactful outcomes.

Course Outcomes:
Upon completion of this course, participants will:

Develop a solid foundation in web analytics, including terminology, key metrics, and tools used for data collection and analysis
Learn to analyse web data effectively, extract actionable insights, and translate data into strategic decisions that benefit the organisation
Understand the principles of CRO, conduct A/B testing, and implement strategies to improve website conversions and user experiences
Gain proficiency in advanced analytics techniques, dashboards, and reporting tools to monitor performance and communicate findings to stakeholders

Who Should Attend:
This course is tailored for individuals in management roles within training and consultancy firms who want to gain expertise in web analytics and use data-driven insights to make informed decisions that drive business success.

Course Topics:
Introduction to Web Analytics

Understanding the role of web analytics
Key web analytics terminology
Types of data collected
Overview of web analytics tools

Data Collection and Analysis

Setting up web analytics tools (, Google Analytics)
Data collection and tracking best practices
Data segmentation and filtering
Analysing website traffic and user behaviour

Data-Driven Decision Making

Leveraging data for strategic decision-making
Identifying actionable insights
Building a data-driven culture within organisations
Ethical considerations in data usage

Conversion Rate Optimization (CRO)

principles of CRO and its importance
A/B testing and experimentation
Implementing CRO strategies
Monitoring and measuring CRO success

Advanced Analytics and Reporting

Advanced analytics techniques (, cohort analysis funnel analysis)
Creating custom reports and dashboards
Communicating data insights to stakeholders
Continuous improvement through data analysis

Cost: 4250 GBP

Duration: 5 Days

Strategic Information Technology - Level 1 - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:12 +04

Course Introduction:
Kickstart your strategic IT knowledge with this course, focusing on the foundational aspects of IT within a business context, including basic IT strategy and management principles.

Course Outcomes:
Appreciate the advantages and risks of corporate and internet computing, in achieving financial, efficiency and other objectives
Explain the costs, economics and opportunities provided by the corporate computing systems, the internet, cloud computing, open standards and social media
Create plans for the application and management of ERP, CRM and IT projects using agile project management to achieve efficient and reliable and effective performance

Who Should Attend:
Senior managers, executives and professionals, who need to understand the impact and opportunities arising from advances in IT, the internet, social media, cloud and open standards, in order to inform the board of emerging IT risks and opportunities
Financial executives, managers and professionals, who are responsible for budgets and projects and must know the costs, economics, potential impact of computing and how to introduce computing projects
Senior company executives who are in charge of change management, ERP, CRM and IT projects
Those responsible for delivering IT and IT projects

Course Topics:
IT Strategy

Advances in IT and developments in corporate computing
IT applications security and architecture
Issues in formulating IT strategy to meet organisational needs
Current themes and trends open standards and the new digital environment
The IT strategy framework
Where and how to start
Common mistakes and SWOT

Project management

Large versus small projects
Agile versus other methodologies: SSADM and Prince II
Big project case studies and research findings
Procurement and contract management: life cycle procurement
IT benchmarking

Agile project management

History and successes
Agile practices
Agile disciplines and fulfilling control and reporting needs
Setting up the agile team

Advanced Business Intelligence

Information and intelligence to run an organisation: data driven models and budgetary control; decision support systems; risk modelling and data-mining
Further techniques to define information: Critical Success Factors KPIs Balanced scorecard and benchmarks
Specialist needs: combating money laundering; fraudulent trading etc
Communicating with the Boardroom: BI dashboards and BI usage
The future: using BI to deliver policies

Using the web and social media for competitive gain

BI and data-mining analysis of marketing and selling data
Pro-active use of social media Facebook viral campaigns community groups
Analysis of tweets and social media
Dealing with big data and data discovery

Cost: 4250 GBP

Duration: 5 Days

Data-Driven Decision Making in Government - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:11 +04

Course Introduction:
Designed for public sector professionals, this course focuses on leveraging data analytics to improve policy-making, public service delivery, and governance. Delegates will explore real-world case studies and gain hands-on experience with data-driven decision-making frameworks.

Course Outcomes:
Use data analytics to improve policy decisions
Enhance public service delivery with data insights
Apply predictive models for economic and social planning
Improve regulatory compliance using data monitoring
Develop evidence-based governance strategies
Communicate insights effectively to policymakers
Strengthen inter-agency data collaboration
Optimise budget planning and resource allocation
Implement AI-driven public service improvements
Ensure data security and ethical governance

Who Should Attend:
Public sector managers and analysts aiming to enhance policy-making and service delivery through data-driven decision-making frameworks. Past delegates have included:
\n
Policy Data Analyst
Public Service Operations Manager
Research and Planning Officer
Government Program Analyst
Budget and Resource Planner

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Data Analytics for Public Policy

Data-driven policy formulation
Impact analysis and performance measurement
Economic modelling and scenario planning
Public sector case studies

Smart Governance and Digital Transformation

AI and machine learning in government
Citizen data privacy and ethical considerations
Digital transformation strategies in the public sector
Case studies on data-driven governance

Cost: 4850 GBP

Duration: 5 Days

Big Data and Advanced Analytics applications in Industry - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:11 +04

Course Introduction:
Discover how blockchain technology can revolutionise institutional and industry operations. This course provides a comprehensive understanding of blockchain applications, strategic integration, and risk management, enabling you to leverage this disruptive technology for innovation and efficiency in your organisation.

Course Outcomes:
Equip participants with a solid foundation in big data and analytics concepts
Enable participants to identify and collect relevant data sources for analysis
Teach advanced analytics techniques and tools for extracting meaningful insights
Empower participants to apply data-driven decision-making in their respective industries

Who Should Attend:
This executive education course is designed to provide professionals in the field of management and operations with the essential knowledge and skills required to harness the power of big data and advanced analytics in various industry sectors. Participants will gain a comprehensive understanding of how data-driven insights can drive strategic decision-making and enhance operational efficiency. This course is ideal for Directors of Operations, managers, and professionals in management roles in various industries, including consultancy firms. It is suitable for individuals who are looking to enhance their decision-making capabilities through the use of big data and advanced analytics.

Course Topics:
Introduction to Big Data and Analytics

Understanding the fundamentals of big data and analytics
Exploring real-world use cases and success stories
Introduction to data collection and storage techniques
Ethical considerations in data handling

Data Acquisition and Preparation

Data sourcing and integration strategies
Data cleaning transformation and preprocessing
Handling structured and unstructured data
Data quality assessment and assurance

Advanced Analytics Techniques

Statistical analysis and hypothesis testing
Predictive modeling and machine learning algorithms
Data visualization and interpretation
Case studies in advanced analytics applications

Implementing Analytics in Operations

Integrating analytics into business operations
Building a data-driven culture within an organisation
Monitoring and optimizing operational processes
Risk management and compliance in analytics

Strategic Decision-Making with Big Data

Strategic planning and goal alignment
Scenario analysis and predictive modeling for decision support
Business intelligence tools and dashboards
Developing a data-driven business strategy

Cost: 4250 GBP

Duration: 5 Days

Advanced Strategic Information Technology - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:11 +04

Course Introduction:
For IT professionals seeking a strategic edge, this course covers advanced concepts in aligning IT strategy with business goals, leveraging technology for competitive advantage.

Course Outcomes:
Appreciate the advantages and risks of corporate and internet computing, in achieving financial, efficiency and other objectives
Explain the costs, economics and opportunities provided by the corporate computing systems, the internet, cloud computing, open standards and social media
Create plans to introduce efficient enterprise computing systems, cloud computing and Software as a Service (SaaS)
Create plans for the application and management of ERP, CRM and IT projects using agile project management to achieve efficient and reliable and effective performance

Who Should Attend:
Senior financial executives, managers and professionals, who need to understand the impact and opportunities arising from advances in IT, the internet, social media, cloud and open standards, in order to inform the board of emerging IT risks and opportunities
Financial executives, managers and professionals, who are responsible for budgets and projects and must know the costs, economics and potential impact of computing and how to introduce computing projects
Senior company executives who are in charge of change management, ERP, CRM and IT projects

Course Topics:
IT strategy

Advances in IT and developments in corporate computing
IT applications security and architecture
Issues in formulating IT strategy to meet organisational needs
Current themes and trends open standards and the new digital environment
The IT strategy framework
Where and how to startCommon mistakes and SWOT

Project Management

Large versus small projects
Agile versus other methodologies: SSADM and Prince II
Big project case studies and research findings
Procurement and contract management: life cycle procurement
IT benchmarking

Agile Project Management

History and successesAgile practices
Agile disciplines and fulfilling control and reporting needsSetting up the agile team

Cloud Computing

The economic case for cloud computing
The opportunities from cloud computing: SaaS IaaS PaaS etc
Cloud issues: security confidentiality performance limitations (big data and content)
Purchasing and procurement of cloud
Cloud as an opportunity to upgrade and to rethink data and processes
What is SOA and should I care?

Enterprise Resource Planning (ERP)

ERP and workflow history and economicsFunctionality and vendor analysis
ERP pitfalls
ERP and open standards
Common mistakes and SWOT

Advanced Business Intelligence

Information and intelligence to run an organisation: data driven models and budgetary control; decision support systems; risk modelling and data-mining
Further techniques to define information: Critical Success Factors KPIs Balanced scorecard and benchmarks
Specialist needs: combating money laundering; fraudulent trading etc
Communicating with the Boardroom: BI dashboards and BI usage
The future: using BI to deliver policies

Customer Relationship Management (CRM)

Second generation CRM and functionality
Selecting and specifying your CRM on-premise v cloud
Marketing analysis and campaigns 360 relationships and social media
The application of CRM in public and private sector (sales v. citizen interactions)
Common mistakes and SWOT

Using the Web and Social Media for Competitive Gain

BI and data-mining analysis of marketing and selling data
Pro-active use of social media Facebook viral campaigns community groups
Analysis of tweets and social media
Dealing with big data and data discovery

Management Information and Financial Systems

Selecting and specifying your financial system including appraisal against IFRS
Managing a large organisation meeting board management and regulatory needs
The impact of cloud and big data issues
Data efficiency utilisation and control avoiding data silos
Business Intelligence and an integrated view of the organisation

Cost: 7250 GBP

Duration: 10 Days

Data Analytics & Marketing Performance Measurement - Ascendia Holding , Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, UAE, Dubai, Online

Fri, 09 May 2025 13:22:00 +04

Course Outline:

This course equips you with the skills to effectively track and optimize marketing performance using powerful analytical tools and methodologies. Learn to navigate Google Analytics to monitor user behavior, traffic sources, and conversion paths in real time. Build and interpret KPI dashboards that highlight campaign performance and uncover areas for improvement. Master A/B testing techniques to experiment with different messages, visuals, and channels for maximum impact.

Gain expertise in ROI analysis to evaluate campaign profitability and justify marketing investments. Explore predictive data models to forecast trends, segment audiences, and guide strategic decisions that fuel business growth. This data-driven approach ensures smarter, faster, and more impactful marketing execution.

Cost: 1299 AED

Duration: 24 Hours

Data Visualisation with PowerBI - Opportunities Workshop , UAE, United Kingdom, Dubai, Online, London

Tue, 22 Apr 2025 14:26:37 +04

Make your data come to life with attractive, interactive reports in Power BI. In this course, you’ll learn how to use Power BI’s analytics tools to transform your data into dazzling dashboards, reports, and visualisations to understand key business insights at a glance.

Power BI is a data visualisation tool that allows us to see and understand data more deeply. In this course, you’ll explore essential types of analysis and data visualisation used to convey insights from data.

You’ll learn how to prepare and clean your data before you work with it, and you’ll learn step by step how to use your data to build reports in Power BI Desktop and publish them to the cloud service where you can create and share your personalised dashboards.

You’ll also learn how to create, customise, and format your dashboard in Power BI and add interactivity to your data visualisations.

By the end of the course, you will be equipped with powerful data visualisation skills to help your organisation get the meaningful answers you and your colleagues need to make informed decisions for your business.

Module 1: What is Power BI?
Module 2: Getting Started with Power BI
Module 3: Data & Modeling
Module 4: Working with DAX (Power BI’s formula language)
Module 5: Exploring Visuals

Cost: 1500 USD

Duration: 3 Days

Python for Data Analysis - Opportunities Workshop , UAE, United Kingdom, Dubai, Online, London

Tue, 22 Apr 2025 14:20:53 +04

In this course, you’ll learn to code with Python.

Python is a general-purpose programming language used for a variety of purposes, including web, software, and game development, artificial intelligence, machine learning, and data analysis.

The course begins with fundamental programming concepts, such as functions and statements. We then cover several of the Python libraries most relevant for data management and manipulation (, NumPy, Pandas, Seaborn, and Matplotlib).

You’ll also learn about extracting, transforming, and loading data (ETL) techniques and operations, as well as what is known as “data wrangling”.

Module 1: Introduction to Programming with Python
Getting Started with Python; Performing Operations with Complex Data Types; Working with “If” Statements, Loops, and Comprehensions; Defining, Configuring, and Invoking Functions; Leveraging Functions with Lambdas, Generators, Closures, and
Decorators

Module 2: Python for Data Science
Introduction to NumPy for Multi-dimensional Data; Advanced Operations with NumPy Arrays; Manipulating and Analysing Data in Pandas Dataframes; Data Wrangling with Pandas; Data
Visualisation Using Seaborn

Module 3: Operations with petl
Petl: Introduction; Basic Data Transformations; Advanced Extractions and Transformations

Module 4: Data Science Statistics
Using Python to Compute and Visualise Statistics; Applied Inferential Statistics

Cost: 1500 USD

Duration: 3 Days

Certified Data Science Practitioner - Opportunities Workshop , UAE, United Kingdom, Dubai, Online, London

Tue, 22 Apr 2025 14:02:02 +04

The Certified Data Science Practitioner™ (CDSP) is an industry-validated certification which helps professionals differentiate themselves from other job candidates by demonstrating their ability to put data science concepts into practice. Data can reveal insights and inform—by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyse, understand, manipulate, and present data within an effective and repeatable process framework.

This certification validates candidates’ ability to use data science principles to address business issues, use multiple techniques to prepare and analyse data, evaluate datasets to extract valuable insights, and design a machine learning approach. In addition, it will validate skills to design, finalize, present, implement, and monitor a model to address issues regardless of business sector.

Cost: 1999 USD

Duration: 5 Days

Certified Ethical Emerging Technologist (CEET) - Opportunities Workshop , Online, Dubai, United Arab Emirates, London, United Kingdom,Bahrain,Malaysia,Oman,Qatar,Saudi Arabia,Singapore

Tue, 25 Mar 2025 18:14:04 +04

Course Overview:

This three-day intensive programme provides delegates with the knowledge, skills, and abilities required to:

Apply foundational ethical principles
Follow industry-standard frameworks
Identify and mitigate risks
Navigate ethical organizational governance
Devise and maintain ethical, trusted, and inclusive data-driven technologies

Key Topics Covered:

The Certified Ethical Emerging Technologist™ (CEET) course and exam cover the following five core areas:

Fundamental Concepts for Data-Driven Technology Ethics
Ethical Frameworks
Risk Identification and Mitigation
Communication
Organizational Policy and Governance

Certification & Exam:

This course fully equips delegates to successfully sit for the CertNexus Certified Ethical Emerging Technologist (CEET) exam and earn the accompanying certification.

Cost: 2999 USD

Duration: 3 Days

(MS) in IT & Data Science - Bradford International Alliance , United Arab Emirates

Sat, 22 Feb 2025 16:08:41 +04

The Master of Science (MS) in IT and Data Science is a graduate-level programme that focuses on developing knowledge and skills related to information technology (IT) and data science. The programme typically includes a combination of coursework, projects, and practical experience, with a focus on developing a deep understanding of data science and its applications in various fields.

Cost: 45000 AED

Duration: Upto 1 Year

MBA in BA & Big Data. - Bradford International Alliance , United Arab Emirates

Sat, 22 Feb 2025 15:32:08 +04

The Master of Business Analytics curriculum is designed to prepare students to develop solid skills in data analytics for the challenges they will face as a business leader in today's rapidly changing environment. The program is taught as a combination of lectures and hands-on exercises in our ‘Business Analytics Lab’ using state of the art data science and analytics software.

Cost: 45000 AED

Duration: Upto 1 Year

PowerBI - The Gulf Consultant , United Arab Emirates, Online

Mon, 27 Jan 2025 12:22:11 +04

About the Course:

Power BI is a powerful tool that enables businesses to harness the full potential of Business Intelligence (BI). In today’s fast-paced environment, businesses generate massive amounts of customer transactions and data that are impossible to analyze manually in a short amount of time. As a result, organizations increasingly rely on technology for accurate data extraction, analysis, and presentation to guide strategic decisions.

Power BI meets this need by providing robust tools for the extraction, analysis, transformation, and visualization of data. It empowers businesses to make insightful decisions that drive future strategies and foster informed decision-making.

Duration: 2 Days (8 Hours Per Day)

Course Objective:
Data Extraction
Data Transformation
Data Loading
Data Modelling
Data Analysis Expressions
Data Analysis
Data Visualization
Data Driven Decisions.
Data Publishing

Learning Outcome:
To Know about various Methods of Extracting data.
Learn Various tools and Methods for data Cleaning and Data Transformation.
Understand How to create relationship with different sources of data
Learn how to create data Analysis Function for preparing Reports.
Learn to Analysis various ways of Data Analysis
Learn to prepare Dashboards and Different types of visuals for effective decision Making
SCOPE
Data Analyst
Business Analyst

Course Outline:

Module 1:
Concept of Data Analysis
Concept of Business Intelligence.
Introduction to Power Bi
Power Bi Architecture
Power Bi Components
Installing Power Bi Desktop.

Module 2:
Extract/Connect Data
Getting data from Flat Files
Getting Data from open Data Feeds
Getting Data from Folder
Difference between Transform and Load Data

Module 3:
Power query Editor
Data Transformation
Data Formatting and Extraction
Formatting by Add Column
Merge, Add & Remove Columns in Power Query
Sorting in Power query
Merge and Append query
Transform Table Tools
Text Column Tools
Number Column Tools

Module 4:
Power Query Editor Advanced Options
Building a complete Calendar Table
Conditional Custom & Invoke Custom
Flash fill in Power Query (Columns from example)
Understanding different view options
Connect to multiple files in a folder
Column Profiling in Power query Editor

Module 5:
Data Modelling in Power Bi
How to build relationship and relationship cardinality
Understanding filter flow & Cross Filter direction
Building entire model
Snowflake & Star schema
Add Related table

Module 6: DAX –
Data Analysis Expressions
Understanding DAX and its Types
Difference between calculated columns and measures
Logical DAX
Another example of conditional column
Understanding SWITCH function
Understanding Year and Today function
Playing with Text functions (Left and Search)
Most Common used DAX Measures
DAX Iterators
Date & Time DAX

Module 7:
Report Setup in Power Bi Desktop
Understanding Report view and creating a new report
Page display settings in a Power BI report
Setting color theme aligned to project/company color theme & Theme Gallery
Adding non-visualization object
Inserting Basic charts and understanding format tab
Creating Comparison visuals (Doughnut Chart)
Creating Bar chart for Top 5 Customers
Geographical Visualization
Understanding Matrix visual along with Conditional Formatting
Comparing Actual vs. Target using Gauge Chart
Slicing and Dicing in Reports

Module 8:
Advanced Visualization/Custom Visualization Options
Showing monthly trend with line chart
Setting up forecasted revenue in line chart
Presenting data in an Area chart with awesome tooltip feature
Building amazing KPI's
Drill through Report Page
Custom visual (third party visual)
Story telling through Bookmarks
Ask questions from PBI and get visuals (NLQ)

Module 9:
Publishing Report & Advanced Report Options
What if Parameter
Setting RLS (Row Level Security)
Tooltip Page
Different types of filters in report view
Change how visuals interact in a report
Publishing Reports
Importing Report to Power Point

Module 10:
Power Bi Project for Pro Training Analaysis.

Cost: 3500 AED

Duration: 2 Days

Tableau Desktop - Super Easy Introduction - Learners Point Training Institute , Bahrain, Kuwait, Qatar, Saudi Arabia, UAE, Dubai, Abu Dhabi, Sharjah, Fujairah, Online,Kuwait,Oman,Qatar,Saudi Arabia,United Arab Emirates

Wed, 22 Jan 2025 14:21:03 +04

Overview:

The Tableau Desktop course is your gateway to mastering data visualisation. This comprehensive Tableau training prepares participants with the skills to connect to data sources, import data, customise visualisations, and create dashboards and stories. Designed for professionals seeking to enhance their expertise, this Tableau certification course is perfect for individuals who aim to use data more effectively in their careers.

Why Enrol in the Tableau Course?

Our Tableau Desktop course is an essential training program for professionals who want to excel in data analysis and visualisation. The course covers:

Connecting to and preparing data.
Creating customised visualisations.
Building interactive dashboards and compelling stories.
Using advanced filtering options and design best practices.

Why Tableau Certification Matters

Earning a Tableau certification demonstrates your ability to analyse data, create engaging dashboards, and deliver actionable insights. This skillset is highly valued by employers, as Tableau experts help businesses make data-driven decisions that foster growth.

With the demand for data visualisation experts growing rapidly, completing this Tableau course in Dubai will boost your career prospects and open doors to lucrative opportunities.

Course Modules

Tableau Fundamentals

Overview of Tableau
Navigate and Configure Tableau

Connecting to and Preparing Data

Connect to Data
Build a Data Model
Save Workbook Files
Prepare Data for Analysis

Exploring Data

Create Views
Customise Data in Visualizations

Managing, Sorting, and Grouping Data

Adjust Fields
Sort Data
Group Data

Saving, Publishing, and Sharing Data

Save Data Sources
Publish Data Sources and Visualizations
Share Workbooks for Collaboration

Filtering Data

Configure Worksheet Filters
Apply Advanced Filter Options
Create Interactive Filters

Customizing Visualizations

Format and Annotate Views
Emphasise Data in Visualizations
Create Animated Workbooks
Best Practices for Visual Design

Creating Dashboards in Tableau

Create Dashboards
Enhance Dashboards with Actions
Create Mobile Dashboards

Creating Stories in Tableau

Create Stories
Enhance Stories with Tooltips

Why Choose Learner’s Point?

At Learner’s Point, we focus on delivering high-quality Tableau training to meet industry standards. Here’s why learners prefer us:

Comprehensive course content with the latest Tableau updates.
Flexible learning options, including online and classroom sessions.
Convenient payment plans, including instalment options.
Weekday and weekend classes to suit your schedule.
Expert trainers with real-world experience.

Testimonials

Sharman Habib, Data Analyst

"The Tableau Desktop - Part 1 course was a game-changer for me. I had no previous experience with data visualization, but the course was so well-structured and easy to follow that I was able to learn quickly. The instructors were knowledgeable and engaging, and the hands-on projects were really helpful in reinforcing what I had learned. I would highly recommend this course to anyone ;

Rodrigues Seville, Business Intelligence Developer

"I really enjoyed the Tableau Desktop - Part 1 course. The content was very practical and relevant to real-world scenarios, and the instructors were excellent at explaining complex concepts in simple terms. The exercises were challenging but doable, and I appreciated the emphasis on best practices and efficiency. Overall, I would definitely recommend this course to anyone looking to improve their data ;

Enrol in Tableau Desktop Training Today

Take the first step in mastering data visualisation with Tableau Desktop training. Join our Tableau certification course to build essential skills, create impactful dashboards, and take your career to new heights.

Get started with our Tableau course at Learner’s Point and become a data visualisation expert today!

Cost: 2000 AED

Discount: 60% Off for Laimoon Users!

Duration: Upto 24 Hours

Data Science Certification - Self Study - Anexas FZE , Online

Wed, 08 Jan 2025 13:34:59 +04

Introducing our Data Science course for Beginners: a 2-month, 55-hour program designed for non-programmers, data science beginners, and freshers. Gain a solid foundation in data science with topics like statistics, Python, EDA, visualization, and more. Complete over 25 industry-based projects and case studies to enhance your practical skills. Start your data science journey and unlock exciting career opportunities.

What you'll gain

Internationally recognized certification from Anexas Europe.
Interactive online live training with industry experts.
Lifetime dashboard access to course materials.
Project guidance with 25+ industry-based projects.
Real-time project completion.
Tools required for the training.

Key Benefits of Data Science for Beginners

Enhance your career with Data Science skills: Hone your problem-solving, analytical, and programming skills, and advance your professional skill set with a career in Data Science.
Join the industry of your choice: Data Science tools and techniques are applicable across various industries, allowing you to choose and excel in the sector of your preference.
Internationally available opportunities: Get international opportunities. Data Science is a globally recognized field with high demand in organizations worldwide, opening doors to international career prospects.
Become an internal consultant or adviser to your company: Achieve better job roles and higher salaries by becoming a certified Data Science professional, offering your expertise as an internal consultant or adviser in data-driven decision-making.
Deepen your business understanding: Data Science encourages you to think strategically and analytically, providing clear insights into business performance, trends, and opportunities through effective data analysis and modeling.
Get Project Management experience: The more you advance in Data Science, the more experience you gain in managing com

Learning from the Best trainer

Amitabh Saxena, CEO of Anexas Europe has done some great work in the quality domain. He has an experience of more than 33 years. He is also the founder of Anexas and will be your trainer for the course. He has consulted Fortune 100 organizations including ADNOC, Dell, SABIC, Aramco, Ministry of Health, DP World, Alfuttaim Motors, EMC2, Bank Muscat, TATA Business services, Deloitte , TATA motors finance ltd, Steel authority of India, Indian railway , Colgate Palmolive , Novartis, Novozymes Denmark, HP, Tech Mahindra, Reliance, Bharat Petroleum, Maersk ,Cisco and the list goes on.

Cost: 525 AED

Duration: Upto 55 Hours

Power BI Certification - Anexas FZE , Online

Wed, 08 Jan 2025 12:39:15 +04

Unlock the full potential of Power BI with our comprehensive Power BI course. Whether you’re a beginner or an experienced professional, this course will guide you from the fundamentals to advanced concepts, equipping you with the skills to become a Power BI expert. With its intuitive user interface, Power BI is a natural choice for those familiar with Excel, and its seamless integration with other Microsoft products makes it a versatile self-service tool.

As the world’s leading self-service Business Intelligence platform, Power BI is a must-have tool for data professionals and beginners. Take advantage of this opportunity to elevate your skills and expand your boundaries in data analytics. Enroll now as seats are limited. Take the leap into the world of Power BI and empower yourself with the knowledge and expertise to drive impactful data-driven decisions.

Key Benefits of Power BI

Enhance your career with Power BI certification: Hone your data analysis, visualization, and business intelligence skills, advancing your professional skill set and career opportunities.
Join the industry of your choice: The Power BI tools and techniques are applicable across various industries, allowing you to choose and excel in the sector of your preference.
Internationally available opportunities: Get international opportunities. Power BI is a globally recognized certification that is valued in organizations worldwide, opening doors to international career prospects.
Become an internal consultant or adviser to your company: Achieve better job roles and higher salaries by becoming a certified Power BI professional, offering your expertise as an internal consultant or adviser in data-driven decision-making.
Deepen your business understanding: Power BI certification encourages you to think strategically, providing clear insights into business performance, trends, and opportunities through effective data analysis and visualization.
Gain Project Management experience: The more you advance with Power BI certification, the more experience you gain in managing data projects, enhancing your professional credentials and expertise.

Learning from the Best trainer:
Amitabh Saxena, CEO of Anexas Europe has done some great work in the quality domain. He has an experience of more than 33 years. He is also the founder of Anexas and will be your trainer for the course. He has consulted Fortune 100 organizations including ADNOC, Dell, SABIC, Aramco, Ministry of Health, DP World, Alfuttaim Motors, EMC2, Bank Muscat, TATA Business services, Deloitte , TATA motors finance ltd, Steel authority of India, Indian railway , Colgate Palmolive , Novartis, Novozymes Denmark, HP, Tech Mahindra, Reliance, Bharat Petroleum, Maersk ,Cisco and the list goes on.

Cost: 525 AED

Duration: Upto 22 Hours

PL-300T00: Microsoft Power BI Data Analyst - Learners Point Training Institute , Bahrain, Kuwait, Qatar, Saudi Arabia, UAE, Dubai, Abu Dhabi, Sharjah, Fujairah, Online,Kuwait,Oman,Qatar,Saudi Arabia,United Arab Emirates

Mon, 06 Jan 2025 15:13:15 +04

Overview:

Master data analysis with our Power BI Data Analyst Course in Dubai. Designed for aspiring data analysts and BI professionals, this PL-300 certification course offers 25 hours of practical, hands-on training led by industry experts. Learn how to model, transform, and visualize data using Power BI, Microsoft Copilot, and Fabric to uncover valuable business insights.

What You Will Learn:

Our PL-300 Power BI Data Analyst training provides a step-by-step approach to mastering data analytics tools and techniques. Key learning areas include:
Power BI Fundamentals: Understand Power BI components, including Desktop, Service, and Mobile.
Data Preparation & Transformation: Clean and transform data using Power Query Editor.
Data Modeling & DAX: Learn data relationships, DAX calculations, and advanced functions like CALCULATE, FILTER, and RELATED.
Advanced Reporting & AI Tools: Work with Microsoft Copilot for AI-driven insights and Fabric for real-time data handling.
Row-Level Security (RLS): Manage data access with advanced security configurations.
Hands-on Projects: Solve real-world data challenges with over 5+ use cases and a final capstone project.

Why Take the Power BI Data Analyst Course?

PL-300 Certification: Prepare for the globally recognized PL-300 Power BI Data Analyst Certification.
Practical Learning: Engage in daily tasks to reinforce concepts and develop hands-on expertise.
Career Advancement: Boost your career as a certified data analyst with job-ready skills and project experience.
AI Integration: Learn how to use Microsoft Copilot and Fabric for modern data analysis.
Flexible Learning: Access lifetime class ownership and convenient payment plans with easy installments.

Course Outline

Module 1: Introduction to Power BI

Overview of Power BI components (Desktop, Service, Mobile)
Copilot Introduction: How to use AI-powered features for data exploration
Installing Power BI Desktop and setting up the environment
Navigating the Power BI interface: ribbons, panes, and views
Hands-on Lab: Importing sample datasets and exploring Copilot

Module 2: Data Preparation & Transformation

Connecting to various data sources (Excel, SQL, Web APIs)
Data profiling, data types, and handling missing values
Advanced transformations: merging, appending, pivoting, unpivoting data
Using Power Query Editor for complex data shaping
Hands-on Lab: Building a data model for sales data analysis

Module 3: Data Modeling & DAX Fundamentals

Designing star and snowflake schemas
Creating and managing table relationships
DAX basics: calculated columns, measures, and quick measures
Using DAX for basic calculations like SUM, AVERAGE, COUNT
Hands-on Lab: Building a data model for sales data analysis

Module 4: Advanced DAX Functions & Optimization

Advanced DAX functions: CALCULATE, FILTER, ALL, RELATED
Time intelligence functions for date-based calculations (, YTD, QTD)
Performance optimization techniques: DAX query tuning, minimizing model size
Hands-on Lab: Creating advanced DAX measures for business insights

Module 5: Visualizations & Reporting Best Practices

Building advanced visuals: combination charts, gauges, maps, and custom visuals
Creating dynamic reports with slicers, bookmarks, and drill-through
Designing for user experience: layout, color schemes, and storytelling
Best practices for dashboard design and performance
Hands-on Lab: Creating an interactive sales performance dashboard

Module 6: Power BI Service & Collaboration

Publishing reports and dashboards to Power BI Service
Configuring dataset refresh schedules and managing gateways
Setting up Row-Level Security (RLS) for data access control
Hands-on Lab: Publishing and sharing reports with user access control

Module 7: Copilot in Power BI

Using Copilot to generate natural language insights and queries
Automating data exploration and report generation
Implementing Copilot for predictive analytics and recommendations
Hands-on Lab: Using Copilot for advanced data exploration

Module 8: Advanced Data Analysis Techniques

Utilizing AI visuals like Key Influencers, Decomposition Tree, and Smart Narrative
Conducting clustering, anomaly detection, and forecasting
Interactive Q&A with natural language queries
Hands-on Lab: Applying AI visuals to real-world business data

Module 9: Microsoft Fabric Deep Dive

Overview of Microsoft Fabric: Synapse, Data Factory, Data Lake, and Power BI
Using OneLake for centralized data storage
Building Synapse Dataflows for real-time data ingestion
Creating data pipelines for ETL processes and integrating with Power BI
Hands-on Lab: Setting up a Fabric workspace, creating dataflows, and integrating with Power BI

Career Benefits of Power BI Data Analyst Training

This PL-300 Power BI Data Analyst course equips you with industry-demanded skills to help you:

Stand out in the job market as a certified data analyst.
Work in fields like business intelligence, data analysis, and financial analytics.
Enhance your professional portfolio with hands-on projects and real-world use cases.
Gain lifetime access to CareerHub for job assistance and resume building.

Why Choose Learner’s Point?

Expert Instructors: Learn from top industry professionals with real-world expertise.
Globally Recognized Certification: Earn the PL-300 Power BI Data Analyst Certification.
Practical Training Approach: Focus on hands-on labs with real data analysis use cases.
Lifetime Learning Access: Revisit course materials anytime with lifetime class ownership.
Flexible Payment Plans: Affordable payment options with easy installment plans.

Testimonials

Jermaini Holder, Data Analyst

"The Microsoft Power BI Data Analyst course was incredibly helpful in teaching me how to analyze data and create stunning visualizations. The course was well structured and provided hands-on ;

Naurine Selver, Business Intelligence Analyst

"I've taken several data analysis courses in the past, but the Microsoft Power BI Data Analyst course was the ;

Cost: 1500 AED

Discount: 60% Off for Laimoon Users!

Duration: Upto 25 Hours

Data Analyst Certification - Learners Point Training Institute , Bahrain, Kuwait, Qatar, Saudi Arabia, UAE, Dubai, Abu Dhabi, Sharjah, Fujairah, Online,Kuwait,Oman,Qatar,Saudi Arabia,United Arab Emirates

Mon, 06 Jan 2025 11:10:56 +04

Overview:

Unlock the power of data with our Data Analyst Course in Dubai. Designed for aspiring professionals, this comprehensive course prepares you with in-demand skills to transform raw data into valuable insights. Gain expertise in Python, SQL, Power BI, and Tableau, while mastering AI-driven tools like Copilot and Fabric for innovative data analysis.

Why Choose Our Data Analyst Course?

Months of Practical Learning: Hands-on training delivered by industry professionals.
Solve Real-World Problems: Work on 5+ industry-based use cases and a comprehensive capstone project.
Master AI-Powered Tools: Learn to leverage Copilot and Fabric for advanced AI data analytics.
Daily Assignments: Consistent practice for better learning retention.
Career Support: Lifetime access to classes and CareerHub support for job readiness.

What You Will Learn:

Python Programming: Basics to advanced concepts, including data visualization and web scraping.
SQL Mastery: Data extraction, manipulation, and querying for business insights.
Power BI & Tableau: Build interactive dashboards and reports for impactful data storytelling.
AI Tools: Hands-on experience with Copilot for automated insights and Microsoft Fabric for advanced data management.

Career Benefits of the Data Analyst Course:

Open doors to industries like finance, healthcare, marketing, and technology.
Work as a Business Intelligence Analyst, Data Scientist, or Financial Analyst.
Gain job security, high earning potential, and versatile career opportunities.

Course Outline

Module 1: Python Programming Fundamentals

Introduction to Python
Sequences and File Operations
Functions and Object-Oriented Programming
Working with Modules and Handling Exceptions

Module 2: Python for Data Analytics and Visualization

Array Manipulation using NumPy
Introduction to Pandas
Advanced Data Manipulation with Pandas
Data Visualization with Matplotlib and Seaborn
Advanced Data Visualization
Data Gathering and Web Scraping using Python

Module 3: Data Extraction and Manipulation with SQL

Introduction to SQL & Databases
Basic SQL Queries
Filtering & Sorting Data
Aggregate Functions & Grouping
Joins & Data Relationships

Module 4: Introduction to Microsoft Power BI for Data Analytics

Introduction to Power BI
Data Preparation & Transformation

Module 5: Data Modelling and DAX with Power BI

Data Modeling & DAX Fundamentals
Advanced DAX Functions & Optimization

Module 6: Visualization and Power BI Services

Visualizations & Reporting Best Practices
Power BI Service & Collaboration

Module 7: Advanced Data Analysis: Copilot and Fabric with Power BI

Copilot in Power BI
Advanced Data Analysis Techniques
Microsoft Fabric Deep Dive

Module 8: Introduction to Tableau for Data Analytics

Data Preparation using Tableau Prep
Data Connection with Tableau Desktop
Basic Visual Analytics
Calculations in Tableau

Module 9: Visual Analytics and Dashboarding with Tableau

Advanced Visual Analytics
Level of Detail (LOD) Expressions in Tableau
Advanced Charts in Tableau
Dashboards and Stories

Why Learner’s Point?

Industry-Recognized Certification: Enhance your resume with a globally respected qualification.
Experienced Trainers: Learn from top industry experts with proven expertise.
Flexible Learning Options: Evening and weekend data analyst classes available.
Easy Payment Plans: Affordable and flexible payment options for everyone.

Testimonials

Saeed Khan, Business Intelligence Analyst

"The Data Analyst course at Learners Point Academy provided me with practical skills in Python, SQL, Power BI and Tableau. The hands-on approach helped me apply concepts to real-world data, boosting my confidence in ;

Ayesha Al-Farsi, Data Analyst

"The course offered a comprehensive understanding of data analytics, with excellent modules on Python, Power BI, and Tableau. The capstone project was a great way to apply what I learned. It’s helped me create impactful ;

Start your journey towards becoming a certified data analyst today. Enroll in our Data Analyst Course in Dubai and master AI data analytics with Learner’s Point!

Cost: 2800 AED

Discount: 55% Off for Laimoon Users!

Duration: Upto 4 Months

Python Data Science - Bright Future Training Institute , Dubai,United Arab Emirates

Mon, 11 Nov 2024 10:56:26 +04

Course Outline

PYTHON 3: THE BASICS

A brief introduction to Python
How does python script work?
Structure of Python scripts
Python is Interpreted
Python vs other programming languages
How Python is better?
How to run Python interactively
The community
Where to find python help
Python documentation

PYTHON SET-UP

Getting python and installation
IDE for Python

PYTHON 3 FEATURES

Standard library
Interactive Mode
Portable
Extendable
Databases
GUI Programming
Scalability
Structured programming and OOP
Python integration with other programming languages

COMMON ELEMENTS OF PYTHON PROGRAMMING

How to use variables
Variable naming scheme
Data types
Python methods
Operators
Boolean and logical operators
Augmented assignments
Switching types
Dictionaries
Types in Python
Where are Arrays in Python?
Tuples
Lists in Python
OOP in Python

CONDITIONAL STATEMENTS IN PYTHON

If Else structure
Conditional expressions
Unconditional flow control
Indentation
Chained comparisons
Sequence
Collection
Object types

LOOPS

While loops
For loops
For loop incremental
Enumerate

PYTHON 3 STRING MANAGEMENT

How to handle strings in python
Print function
String concatenation
String methods
Double quote in String
String formatting and testing
String formatting aids
Slicing a string
String specific methods
How to split and join strings

PYTHON FUNCTIONS

Different type of python functions
Function parameters
Function default values
Variadic functions
Named parameters
Enforcing named parameters
Variables in functions
Nested functions
Function return object
Variables in nested functions
Lamdba functions
Lambda as a sort key
Lambda in

COLLECTIONS

What is Python collection?
Different types of collections in Python
Lists
Using list as stacks
Using list as queues
Using list comprehensions
Tuple and list slicing
Extended iterable unpacking
Adding items to a list
Removing items by position
Removing list items by content
Sorting
List methods
Types
Useful tuple operations
Sets
Set operators
Python dictionaries
Dictionary values
Removing items from a dictionary
Dictionary methods
View objects

ADVANCED COLLECTIONS

Advanced list functions
List comprehensions
Set and dictionary comprehensions

REGULAR EXPRESSIONS

Regular expressions in Python
Regular expression objects
Regular expression substitution
Regular expression split
Special Syntax with Parentheses
Grouping with Parentheses
Repetition Cases
Literal characters
Character classes
Regular Expression Patterns
Modifiers
Matching alternatives
Anchors
Class shortcuts
Flags
Repeat quantifiers
Quantifiers
Parentheses groups
Back-references
Global matches

FILE HANDLING

Reading and Writing Files
Methods of File Objects
Using source file
New file objects
Reading data from an existing file
Reading options
Filter programs – fileinput module
Binary mode
Writing to files from Python
Standard streams
More tricks
Random access

DATABASE WITH PYTHON

Database interface overview
Example – Ms SQL from Python
How to manipulate database in Python

MODULES AND PACKAGES

Python modules and packages
Creating the Required Setup Files
Creating the Distribution File
Executing modules as scripts
The Module Search Path
Compiled Python files
Multiple source files
Importing a module
Importing names
Writing a module
Module documentation
Testing a module
Directories as packages
Python debugger
Python profiler
Distributing libraries using distutils
Importing * From a Package
Intra-package References
Packages in Multiple Directories

CLASSES AND OOP

Introduction to Object-Oriented Programming in Python
Names and Objects
Scopes
Classes and OOP
Using objects
Class definition syntax
Methods within class
Instance objects
Instance variable
Class methods
Inheritance
Abstraction
Threads in Python
Iterators
Generators

ERROR HANDLING AND EXCEPTIONS

Syntax Errors
Stderr
Warnings
How does exception work
Exception handling
Multiple exceptions
Raising exception
Exception arguments
Finally block
Order of execution
The Python exception hierarchy
Raise
Assert
User defined exception
Defining clean-up actions

Cost: 1500 AED

Duration: Upto 40 Hours

MSc Data Science - University of Europe for Applied Sciences , UAE, Dubai, Online

Mon, 14 Oct 2024 13:51:31 +04

Data Science is an increasingly trending field that provides new opportunities for business by creating value out of data.

New waves of innovations surrounding analytic services have had a significant impact on business and technology over recent years. In this master’s programme, you will learn all relevant data science skills which are in demand across all industries in today’s job market.

Our lectures cover the relevant methods in data analytics and machine learning, such as clustering methods, predictive modeling and deep learning. The structured collection of data with intelligent data management is the basis of all successful analyses. Lectures on data engineering and cloud computing focus on these aspects.

The practical application of data analytics for business decisions and the emergence of new business areas via data and digitization are another core focus during the course. During the interdisciplinary electives, you have the opportunity to tailor your studies to suit your career goals by selecting modules out of the programme’s vast portfolio of game design, UX/UI design or digital media communication. A contemporary leadership and culture module prepares you for you for leadership in the future.

FEES:
- Standard: 2 years (120 ECTS): 45, AED per year
- Fast-track, years (90 ECTS): 49,000 AED (first year)

COURSE DURATION:

2 years (120 ECTS) or years (90 ECTS).

Cost: 45937.5 AED

Duration: 2 Years

(BS) in IT & Data Science - Bradford International Alliance , Online

Fri, 11 Oct 2024 15:14:03 +04

Bachelor of Science (BS) in IT & Data Science (Top-up) is a programme designed for individuals who already hold a relevant diploma or higher qualification in a related field and wish to upgrade their knowledge and skills in IT and data science. The programme typically builds on foundational knowledge of information technology, mathematics, and computer science to provide students with advanced knowledge and practical skills in data analysis, data management, and data visualization.

Cost: 19500 AED

Duration: Upto 1 Year

(MS) in IT & Data Science - Bradford International Alliance , Online

Fri, 11 Oct 2024 15:12:18 +04

Master of Science (MS) in IT and Data Science is a graduate-level programme that focuses on developing knowledge and skills related to information technology (IT) and data science. The programme typically includes a combination of coursework, projects, and practical experience, with a focus on developing a deep understanding of data science and its applications in various fields.

Cost: 19500 AED

Duration: Upto 1 Year

Data Analyst - NLP Tech , UAE

Tue, 03 Sep 2024 18:18:28 +04

Data analytics involves the collection, transformation, and organization of factual information to make predictions, draw conclusions, and make informed decision-making. To make decisions about products, services, or business strategies, companies require the expertise of data analysts to sift through the data.
NLPTech in Dubai is renowned for providing top-notch IT courses in Dubai. Our industry-led experts will equip you with key analytical skills such as data cleaning, analysis, & visualization. You will also get to learn about data analytics tools such as spreadsheets, SQL, R programming, and Tableau. NLPTech’s Data Analytics Course provides learners with the skills needed to succeed in the field or start a new career in the IT sector.

Timing flexible
Location Bur Dubai
Pay for one course and get second course FREE

Cost: 2500 AED

Duration: Upto 3 Months

Data Science - NLP Tech , UAE

Tue, 03 Sep 2024 18:13:47 +04

Data Science is an interdisciplinary domain that harnesses scientific methodologies, algorithms, and systems to distill knowledge and insights from both structured and unstructured datasets.
NLPTech’s Data Science Program in Dubai offers an in-depth exploration of the core principles and methodologies underpinning this field. The curriculum encompasses a wide array of essential topics, including data analysis, statistical modeling, the implementation of machine learning algorithms for tackling intricate challenges, and the art of data visualization.
Furthermore, students will cultivate expertise in the art of data collection, refinement, and examination using statistical approaches and machine learning algorithms, allowing them to tackle complex problems efficiently. This program also underscores the paramount importance of ethical considerations and data privacy in the context of data science projects.

Timing flexible
Location Bur Dubai
Pay for one course and get second course FREE

Cost: 2500 AED

Duration: Upto 3 Months

Analytical Tools and Techniques - London Training For Excellence , Netherlands, UAE, United Kingdom, Dubai, London, Amsterdam,United Arab Emirates,United Kingdom

Mon, 05 Aug 2024 16:10:33 +04

Overview
Welcome to our 5-day Analytical Tools and Techniques course where we empower you with the knowledge and skills needed for strategic excellence. Dive into essential strategic tools discover customer-centric approaches and master data analysis techniques. By the end of this program you'll be equipped to make informed decisions spot opportunities and enhance your strategic thinking. Join us on this learning journey to elevate your business acumen.

Objective

Understand essential strategic tools, including STEEP, PEST, SWOT, Porter's Five Forces, and more.
Explore customer-centric models like the Kano Model and Quality Function Deployment.
Develop skills to analyse and respond to customer requirements effectively.
Learn data analysis techniquesincluding data distributioncorrelationsand regression analysis.
Apply strategic and customer tools to improve business decision-making.
Identify key success factorsindustry signalsand opportunities for your organisation.
Enhance your strategic thinking and problem-solving abilities.

Who Should Attend

Managers, supervisors and data analytic personnel who will use this in their day-to-day role.
Anyone who wishes to have a greater understanding of analytics and analysis.

Course Outlines
Day 1: Introduction to Strategic Tools

Introduction to Strategic Thinking
Overview of STEEP and PEST Models
Practical exercises on conducting external environmental scans
Dive into Porter's Five Forces Model
Application of SWOT Analysis

Day 2: Deepening Strategic Tools

Introduction to Ansoff Matrix
Practical exercises to evaluate market strategies
SPACE Matrix explained

Day 3: Customer-Centric Tools

Introduction to Customer-Centric Thinking
Overview of the Kano Model
Application of customer segmentation for strategic focus
Assigning values to customers and ranking based on expectations
Quality Function Deployment model for customer requirements

Day 4: Advanced Customer Tools

Introduction to the Buyer Utility Map
Exercises in generating new customer satisfaction strategies
Conducting customer surveys and data collection techniques

Day 5: Data Analysis with Statistics

Introduction to Data Analysis with Statistics
Recognising data analysis approaches
Basics of quality control and reducing errors
Overview of Quantitative vs. Qualitative data and levels of measurement
Designing ways of expressing data distributions visually
Identifying necessary measures for describing data distributions
Representing correlations in data and introduction to regression analysis

Cost: 4900 USD

Duration: 5 Days

Data Analysis with Pivot Tables - London Training For Excellence , Netherlands, UAE, United Kingdom, Dubai, London, Amsterdam,United Arab Emirates,United Kingdom

Mon, 05 Aug 2024 16:10:33 +04

Overview
Advances in technology have made it possible to store ever increasing amounts of data. Along with this the need to analyse that data and gain actionable insight is greater than ever. Being able to harness the power of advanced PivotTable features and create Pivot Charts will help you to gain a competitive edge.

You will not only be able to summarize data for you to analyse but also organise the data in a way that can be meaningfully presented to others. This leads to data-driven business decisions that have a better chance for success for everyone involved.

Objective
Upon successful completion of this courseyou will be able to use Excel advanced PivotTable functionality to analyse your raw data.
You will:

Prepare data for PivotTable reporting and create PivotTables from various data sources
Analyse Data Using PivotTables
Work with Pivot Charts

Who Should Attend
Managers and staff taking this course are experienced Excel users who are seeking to advance their data analysis capabilities by using PivotTables.

Course Outlines

Preparing Data and Creating PivotTables
Prepare Data.
Create a PivotTable from a Local Data Source.
Create a PivotTable from Multiple Local Data Sources.
Create a PivotTable from an External Data Source.
Analysing Data Using PivotTables
Summarize PivotTable Data
Organize PivotTable Data
Filter PivotTable Data
Format a PivotTable
Refresh and Change PivotTable Data
Working with Pivot Charts
Create a PivotChart
Manipulate PivotChart Data
Format a PivotChart

Cost: 4900 USD

Duration: 5 Days

Big Data Analysis - London Training For Excellence , Netherlands, UAE, United Kingdom, Dubai, London, Amsterdam,United Arab Emirates,United Kingdom

Mon, 05 Aug 2024 16:10:33 +04

Overview
Big data analysis refers to the process of analysing and extracting insights from large and complex data sets that are too big to be processed by traditional data processing tools. Big data analysis involves using advanced technologies and statistical algorithms to extract useful information from massive amounts of data often collected in real-time from various sources such as social media sensors weblogs and transactional data.

Big data analysis aims to identify patterns trends and correlations that can be used to make informed decisions optimise business operations and gain a competitive advantage. Some common techniques used in big data analysis include data mining machine learning natural language processing and predictive analytics.

Objective
The key benefits of the Big Data Analysis Course are as follows:

Improved Data Analytics Skills
Career Advancement
Better Decision Making
Competitive Advantage
Increased Earning Potential
Overalltaking a course on big data analysis can provide individuals with valuable skills and knowledge that are in high demand across many industriesleading to improved career prospectsbetter decision-makingand a competitive advantage for their organisations.

Who Should Attend

1. Data analysts and data scientists who want to learn new techniques and tools for analysing large data sets.
2. Business analysts who want to use data-driven insights to make better decisions and improve business performance.
3. IT professionals are responsible for managing and maintaining large databases and data warehouses.
4. Developers who want to learn how to build scalable and efficient data processing systems.
5. Managers and executives who want to better understand big data technologies and how they can be used to drive business innovation and growth. Overall, anyone who wants to learn how to work with big data and extract valuable insights from it can benefit from attending a course on big data analysis.

Course Outlines
Day 1

Introduction to Big Data & Big Data Analysis
Understanding Big Data & its Importance
Characteristics of Big Data
Data Analysis and its role in big data

Day 2

Big Data Technology
Introduction to Big Data Technologies
Hadoop and its ecosystem
Spark and its ecosystem

Day 3

Data Storage and Retrieval
Data Storage and Retrieval technologies
NoSQL Databases (MongoDB Cassandra)
Distributed File Systems (HDFS Amazon S3)

Day 4

Data Processing and Analysis
Data Processing analysis technologies
Data Modelling and preparation
Data Analysis Techniques (statistical analysis machine learning)

Day 5

Data Visualisation and Business Intelligence
Data Visualisation and its importance
Visualisation tools and techniques
Introduction to business intelligence and analytics

Cost: 4900 USD

Duration: 5 Days

Deep Learning for Data Analysis - London Training For Excellence , Netherlands, UAE, United Kingdom, Dubai, London, Amsterdam,United Arab Emirates,United Kingdom

Mon, 05 Aug 2024 16:10:33 +04

Overview
This comprehensive training course delves into the powerful world of Deep Learning and its applications in data analysis. Designed for data analysts and professionals seeking to enhance their skillset this program equips you with the knowledge and tools to extract deeper insights from complex datasets.

Objective
By the end of the courseyou will have acquired the following skills and knowledge:

Profound insight into the statistical underpinnings of artificial intelligence.
Comprehensive understanding of machine learning principles and their practical applications.
Mastering deep learning modelsactivation functionsweights initialisation strategiesand regularisation techniques.
In-depth comprehension of Natural language processing NLP.
Hands-on experience through engagement in a practical project.
Exploration of diverse AI applications within the realm of businesses.
Gain expertise in discerning and leveraging business opportunitiesadeptly crafting compelling use cases.

Who Should Attend
The Deep Learning for Data Analysis training course is ideal for various professionals who want to leverage Deep Learning to extract more value from their data. Here's a breakdown of the target audience:

Data Analysts
Data Scientists
Business Analysts & Researchers
Machine Learning Professionals
Anyone with an Interest in Deep Learning

This course is designed for anyone who wants to bridge the gap between data analysis and Deep Learning to gain deeper insights from complex data sets.

Course Outlines
Day 1
Introduction

Understand data and exploratory data analysis (EDA).
Measures of central tendency dispersion and correlation.
Introduction to Machine Learning.
Introduction to supervised learning algorithms.
Introduction to unsupervised learning.
Introduction to reinforcement learning.
Complete ML workflow.

Day 2
Deep Learning

Introduction to Deep Learning
Neural Networks (NN).
Feedforward neural networks.
Activation functions.
Backpropagation.
Regularisation.
Dropout.
Optimisation algorithms.
Weight initialisation.
Batch normalisation.
Hyper parameter tuning.

Day 3
Natural Language Processing

Introduction to Natural Language Processing (NLP).
Understand NLP tasks.
Understand NLP cycle.
Bag of Words (BoW).
Word Embeddings.
Word2Vec.
Contextualised word embeddings.
BERT.

Day 4
Deep Learning Project

Deep Learning project.
Problem identification.
Value identification.
Project setup.
Project implementation.
Evaluation.

Day 5
AI applications in businesses.

Discriminative AI applications.
Generative AI applications.
Building a business use case.
Course wrap-up.

Cost: 4900 USD

Duration: 5 Days

Data Management - London Training For Excellence , Netherlands, UAE, United Kingdom, Dubai, London, Amsterdam,United Arab Emirates,United Kingdom

Mon, 05 Aug 2024 16:10:33 +04

Overview
In today's data-driven world organisations are drowning in a sea of information. Effective data management is critical for turning this chaos into valuable insights. This intensive 5-day program equips you with the skills and knowledge to navigate the data landscape. Through interactive lectures practical exercises real-world case studies and industry best practices you will learn to collect organise analyse and protect your data assets for informed decision-making.

Objective

Gain a comprehensive understanding of data management principlesprocessesand technologies.
Develop data collectioncleaningand integration strategies from various sources.
Master data modelling techniques for efficient data organisation and storage.
Learn to apply data quality control measures to ensure data accuracy and consistency.
Explore critical concepts of data governance and data security best practices.
Understand data analytics techniques and how they leverage managed data for insights.
Develop skills for data visualisation to communicate data stories effectively.
Stay ahead by exploring emerging data management and analytics trends.

Who Should Attend

Data Analysts and Business Analysts: Learn advanced data preparation and analysis techniques.
Data Scientists: Gain a deeper understanding of data management principles for robust data analysis projects.
Database Administrators (DBAs): Develop robust data modelling and data security practices.
IT Professionals: Understand how data management integrates with overall IT infrastructure.
Business Managers and Executives: Gain insights into leveraging data for strategic decision-making.
Marketing Professionals: Learn to use data for targeted marketing campaigns and customer insights.

Course Outlines
Day 1: Foundations of Data Management

Introduction: The importance of data management in the digital age and its impact on business success.
Data Lifecycle Management (DLM): Understanding the different stages of data from creation to archiving.
Data Quality Fundamentals: Defining data quality standards and implementing data cleaning techniques.
Data Governance Framework: Establishing a framework for data ownership access control and data security.

Day 2: Data Acquisition & Integration Strategies

Data Collection Techniques: Exploring various methods for data collection from internal & external sources.
Data Integration: Mastering strategies to combine data from diverse formats and sources into a unified system.
Data Warehousing & Business Intelligence (BI): Understanding the role of data warehouses and BI tools for data analysis.

Day 3: Data Modelling & Design

Data Modelling Fundamentals: Conceptual logical and physical data models for efficient data organisation.
Entity-Relationship Diagrams (ERDs): Visual representations of data relationships between entities and attributes.
Data Normalisation Techniques: Minimising data redundancy and corruption for optimal data integrity.

Day 4: Data Security & Access Control

Data Security Threats: Understanding common data security risks and implementing data protection measures.
Access Control Mechanisms: Developing user roles and permissions for secure data access and management.
Data Encryption & Anonymisation: Learning techniques to secure sensitive data and protect privacy.
Data Backup & Disaster Recovery: Creating robust strategies for data backup recovery and business continuity.

Day 5: Data Analytics & Visualization

Introduction to Data Analytics: Exploring different data analytics techniques to extract valuable insights from data.
Introduction to Data Visualisation Tools: Learning to create compelling data visualisations for effective communication.
Storytelling with Data: Developing skills to communicate complex data insights to stakeholders clearly and concisely.
The Future of Data Management: Emerging trends in data management including Big Data Cloud Computing and Artificial Intelligence (AI).

Cost: 4900 USD

Duration: 5 Days

Fundamentals of Python Programming - Elegant Training Center , UAE, Dubai, Online,United Arab Emirates

Fri, 19 Jul 2024 10:55:15 +04

This beginner-level Python programming course covers the essentials of the Python coding language, starting with basic concepts like writing and running Python scripts, and gradually progressing to more advanced features. It’s designed to help you gain a strong foundation in Python programming and practical skills that are applicable in real-world tasks. By the end of this Python language course, you will be equipped to utilize Python for problem-solving and project implementation.

Teaching Methodology:

Practical learning through lectures
Lab exercises for hands-on experience

Learning Outcomes:

Grasp the fundamental and core concepts of the Python coding language
Implement basic Python structures such as if statements, loops, and functions
Understand and apply decorators and generators
Work with comparison operators and Python statements
Handle errors and exceptions efficiently
Manage data using various data structures
Read and write external data files in Python
Use modules and packages to organize your code
Implement methods and functions effectively
Apply object-oriented programming principles

This comprehensive Python programming course will enable you to master the skills needed to tackle real-world problems with confidence.

Cost: 1200 AED

Duration: Upto 28 Hours

Microsoft Power BI - Oscar Education Group , UAE, Dubai, Bur Dubai, Deira, Al Qusais,United Arab Emirates

Sat, 27 May 2023 16:41:39 +04

It is part of the Microsoft Power Platform. Power BI is a collection of software services, apps, and connectors that work together to turn unrelated sources of data into coherent, visually immersive, and interactive insights.

Data may be input by reading directly from a database, webpage, or structured files such as spreadsheets, CSV, XML, and JSON.

Cost: 1000 AED

Discount: 50% Off for Laimoon Users!

Duration: 12 Hours

Python for Data Science - Oscar Education Group , UAE, Dubai, Bur Dubai, Deira, Al Qusais,United Arab Emirates

Sat, 27 May 2023 16:40:08 +04

Python is a general-purpose language which means it is versatile and can be used to program many different types of functions. Because it is an interpreted language, it precludes the need for compiling code before execution and because it is a high-level programming language, Python is able to abstract details from code. In fact, Python focuses so much attention on abstraction that its code can be understood by most novice programmers.

Cost: 800 AED

Discount: 50% Off for Laimoon Users!

Duration: Upto 20 Hours

Python for Data Anaylsis - Oscar Education Group , UAE, Dubai, Bur Dubai, Deira, Al Qusais,United Arab Emirates

Sat, 27 May 2023 16:38:40 +04

Cost: 600 AED

Discount: 50% Off for Laimoon Users!

Duration: Upto 12 Hours

Data Analytics Using Power BI - Aptech Computer Training , Dubai, Sharjah

Tue, 14 Mar 2023 15:30:16 +04

Course Overview:

Join the Data Analytics Using Power BI course offered by Aptech Computer Training, a leading computer training institute with branches in Dubai & Sharjah, known for its high-quality training programs and industry-recognized certifications. Earn a KHDA-certified Data Analytics Certificate upon successful completion.

At Aptech Computer Training, we aim to empower you with data analytics skills essential for creating impactful business insights using Microsoft Power BI. This course is designed for beginners and professionals looking to enhance their ability to transform raw data into interactive dashboards, reports, and visual analytics.

This comprehensive Data Analytics Course in Aptech Computer Training covers everything from connecting data sources and modeling data to creating advanced visualizations and reports. Our experienced instructors will guide you through practical, real-world scenarios to ensure you gain practical knowledge and skills essential for various roles in data analysis and business intelligence.

By completing this course at Aptech Computer Training, you will master Power BI, preparing you for specialized career paths in data analytics and business intelligence. Boost your credentials and career prospects with a KHDA-attested Data Analytics Certificate from a trusted training provider.

Course Prerequisites

Basic Excel Knowledge – Understanding of formulas, pivot tables, and charts is helpful.

Why Learn Power BI?

High demand – Companies worldwide rely on Power BI for data-driven decision-making.
Better career prospects – Power BI expertise boosts job opportunities in data analytics.
User-friendly interface – No prior coding experience is required to get started.
Integration with AI & Machine Learning – Enhance analytics with predictive insights.

Course Highlights:

Module 1: Introduction to Microsoft Data Analytics
Module 2: Data Preparation in Power BI
Module 3: Cleaning, Transforming & Loading Data
Module 4: Data Modeling Techniques
Module 5: Writing DAX Measures for Advanced Calculations
Module 6: Performance Optimization in Power BI
Module 7: Creating Interactive Reports
Module 8: Building Dynamic Dashboards
Module 9: Designing Paginated Reports
Module 10: Advanced Analytics in Power BI
Module 11: Workspace & Collaboration Management
Module 12: Managing Datasets & Dataflows
Module 13: Implementing Row-Level Security for Data Governance

Career Opportunities After This Course

Power BI professionals are in high demand across industries. By completing this course, you can pursue roles such as:

Data Analyst – Create compelling reports and dashboards to drive business decisions.
Business Intelligence Analyst – Perform deep data analysis to uncover trends and insights.
Power BI Developer – Design and optimize scalable data models for organizations.
Data Engineer – Manage and transform large datasets for enterprise use.
Financial Analyst – Leverage Power BI for financial forecasting and reporting.

Cost: 1800 AED

Duration: Upto 2 Months

Data Analytics - Aptech Computer Training , Dubai, Sharjah

Tue, 13 Dec 2022 18:06:07 +04

Course Overview:

Step into the world of Data Analytics with the all-inclusive course offered by Aptech Computer Training, available at our Dubai & Sharjah branches. This comprehensive program is designed to equip learners with essential skills in Data Analysis, Data Wrangling, Data Visualization, Machine Learning, SQL, Python, and Power BI. Gain expertise in building predictive models, performing statistical analysis, and visualizing data insights using the most powerful tools and techniques in the industry.

This course offers hands-on training with real-world projects to provide participants with practical knowledge of Data Mining, Predictive Modeling, Data Visualization, SQL/NoSQL Databases, and Machine Learning. With a structured approach to mastering Data Analytics, learners will be able to transform raw data into meaningful insights and drive informed decision-making.

At the end of this course, participants will be awarded a KHDA-certified certificate, enhancing their credentials and boosting their career prospects.

Who Can Enroll?

Aspiring Data Analysts.
Business Professionals.
Data Enthusiasts.
Anyone looking to pursue a career in Data Analytics.

Course Outcomes:

1. Proficiency in data analysis using Excel, Python, and Power BI.
2. Capability to build predictive models and visualize data insights.
3. Expertise in SQL/NoSQL databases for managing data.
4. Skills in Machine Learning for advanced analytics.
5. Hands-on experience with real-world datasets.

Course Outline:

1. Data Analysis Fundamentals:

Introduction to Data Science
Create and Modify Tables
Sort and Filter Data

2. Visualizing Data with Excel:

Charts & Visualizations
Chart Formatting
Best Practices in Chart Design

3. Analyzing Data with Formulas & Functions:

Formulas & Named Ranges
Data Validation, Forms & Controls
Conditional Visualizations

4. Analyzing Data with PivotTables:

Creating PivotTables
Analyzing PivotTable Data

5. Presenting Visual Insights with Dashboards:

PivotCharts & Slicers
Dashboard Creation in Excel

6. Geospatial Visualizations with Excel:

Map Charts
Customizing Maps

7. Getting & Transforming Data:

Data Queries
Data Cleaning & Transformation

8. Revisiting Python & Anaconda Setup:

Anaconda Jupyter Setup
Python Basics (Data Types, Functions, Modules, Lists, Tuples, Dictionaries)

9. Analysis Using Python:

Working with Numpy
Financial Analysis (scikit-learn, QuantLib, SciPy)

10. Data Visualization with Python:

Libraries: Matplotlib, Seaborn, Plotly
Graphs & Charts (Pie, Histogram, Boxplot, Bar Charts, etc.)

11. Data Analytics Using Power BI:

Dashboard Preparation
Pandas DataFrames & Data Cleaning
Data Visualization & Publishing Reports

12. Presto:

Writing Queries on Large Datasets
Data Transformation

13. Data Wrangling with SQL/NoSQL:

SQL Functions, Views, Procedures
NoSQL Schema with Firebase
Firebase Migration with Python

14. KNIME:

Data Processing & Automation
Webscraping & Feature Selection
Hyperparameter Optimization

15. Predictive Modeling:

Multiple Linear Regression
Logistic Regression
Linear Discriminant Analysis

16. Time-Series Forecasting:

Correlation & Forecasting
Autoregressive Models

17. Statistics & Machine Learning Using Python:

Advanced Statistics (ANOVA, Regression Analysis)
Data Mining (Supervised & Unsupervised Learning, Clustering, Decision Trees, Neural Networks)

Career Opportunities:

Data Analyst
Business Intelligence Analyst
Data Scientist
Data Engineer
Machine Learning Specialist

Why Choose Us?

1. Expert Instructors: Learn from professionals with practical knowledge in data analysis.
2. Hands-On Training: Practical projects to reinforce your skills.
3. KHDA-Certified Certificate: A valuable credential to enhance your career opportunities.
4. Comprehensive Curriculum: Covering all essential tools and techniques for data analysis.
5. Flexible Learning Options: Available both online and offline.

Cost: 3500 AED

Duration: Upto 3 Months

SAS (Basic & Advance) - Aptech Computer Training , Dubai, Sharjah

Thu, 13 Oct 2022 16:07:03 +04

SAS Training Course Syllabus (Basic & Advance)

BASE SAS

BASE SAS PROCEDURES

Proc Sort
Proc Print
Proc Means
Proc Freq
Proc Plot
Proc Chart
Proc Copy
Proc Summary
Proc Append
Proc Datasets
Proc Contents
Proc Delete
Proc Format
Proc Import
Proc Export

SAS/SQL

SAS/MACROS

SAS/ODS

SAS/GRAPH

SAS/REPORTS

Frequency Report
One-Way Frequency Report
Cross Tabular Frequency Report
Summary Statistics
Creating a List Report
Define Statement
Order Usage and Group
Printing Grand Totals
Re-break Statement
Tabulate Procedure
One-Dimensional Tables
Two-Dimensional Tables
Obtaining A Total
Analysis Variables with options
Summary Statistics

SAS/STAT

Cost: 4500 AED

Duration: Upto 3 Months

AWS Cloud Developer Architect - Aptech Computer Training , Dubai, Sharjah

Wed, 27 Oct 2021 18:53:42 +04

Module 1: Introduction to AWS Cloud
Module 2: Lab Setup
Module 3: Implementing Websites /Load balancer
Module 4: SIMPLE STORAGE SERVICE (S3)
Module 5: Static Website hosting using S3 Bucket
Module 6: Databases
Module 7: Implementation AWS Cloud Solutions
Module 8: Projects

AWS OpenStack Cloud

AWS Infrastructure: Compute, Storage, and Networkingimplementation
AWS Security, Identify, and Access Management Implementation
AWSDatabase
AWS ManagementTools

Architecting on AWS

CoreAWS
Core AWSServices
Designing yourEnvironment
Making Your Environment Highly Available

Architecting on AWS P-1

Forklifting an Existing Application ontoAWS
Event-Driven Scaling
Automating
Decoupling
Build a new environment

Architecting on AWS P-2

The Well-ArchitectedFramework
Troubleshooting Your Environment
Large-Scale Design Patterns and CaseStudies

Cost: 5000 AED

Duration: Upto 2 Months

Data Science using Python - Aptech Computer Training , Dubai, Sharjah

Wed, 27 Oct 2021 17:04:54 +04

Course Overview:

Join the Data Science course at Aptech Computer Training, offered at our Dubai & Sharjah branches. This hands-on program is designed to provide essential skills in Python, Machine Learning, Data Wrangling, SQL, Data Visualization, and Power BI. Learners will gain the ability to collect, clean, analyze, and model data to uncover valuable business insights.

Ideal for aspiring analysts and professionals seeking to advance their careers in AI, data analysis, or business intelligence, this course offers real-world datasets, project-based learning, and practical case studies.

Upon successful completion, participants receive a KHDA-certified certificate, recognized across the UAE and beyond.

Who Can Enroll?

Students and Graduates
Working Professionals & Analysts
Career Switchers into Data & AI fields

Course Outcomes:

Analyze and visualize structured data
Build machine learning models using Python
Clean and transform data using SQL and Excel
Create professional dashboards in Power BI

Course Outline:

1. Python for Data Science:

Python Basics, OOPs, Functions, and File Handling
Data Handling with NumPy and Pandas
Data Preprocessing & Exploratory Data Analysis

2. Data Analysis & Visualization:

Excel for Analytics (PivotTables, Dashboards, Charts)
Visualization with Matplotlib, Seaborn, and Power BI
Basic Statistics & Probability

3. SQL for Data Wrangling:

SQL Queries, Joins, Views, and Aggregation
Subqueries, Stored Procedures, and Optimization

4. Machine Learning:

Supervised & Unsupervised Learning
Regression, Classification, Clustering Models
Model Evaluation and Optimization Techniques

5. Advanced Topics:

Hypothesis Testing, ANOVA, Chi-Square
Feature Engineering and Selection
Introduction to DAX in Power BI

Career Opportunities:

Data Analyst
Business Intelligence Specialist
Machine Learning Engineer
Data Scientist

Why Choose Us?

Industry-Relevant Tools: Learn with Python, SQL, Power BI, and Excel
Expert Trainers: Learn from professionals with real-world experience
KHDA-Certified Certificate: Boost your global employability
Flexible Learning: Choose between online or in-person training

Cost: 3500 AED

Duration: Upto 3 Months

Machine Learning with Python - Learners Point Training Institute , UAE, Dubai,Dubai

Sat, 23 Oct 2021 13:10:15 +04

OVERVIEW: Machine Learning is a method of data analysis that automates analytical model building. Machine Learning with Python course introduces the fundamental concepts and techniques of Machine Learning using a popular computer programming language, Python, that is used to develop websites, build software, and automate tasks. This course explores the general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.

CAREER OPPORTUNITIES:

Market Trends: Machine Learning has emerged to be the most in-demand technical skill globally in recent years. The annual growth rate of Machine Learning jobs is estimated to be over 40% during the next six years, which represents a market value of almost $31 billion by 2024. Machine Learning job trends are set to impact every industry, creating demand for experts in this field, hence the valuable knowledge of Python combined with Machine Learning provides an extra edge to the professionals.

Salary Trends: Machine Learning jobs are a great choice for a high-paying career that will remain in demand for decades to come. In Dubai, United Arab Emirates (UAE), the median gross salary for a Machine Learning Engineer is AED 315,790 annually, ranking as one of the highest paying jobs in the UAE.

Demand and Opportunities: Machine Learning has proliferated, with expertise in this field ranking as the most in-demand technical skill. In a recent report by Research and Markets, the global Machine Learning market is predicted to grow from $ billion in 2017 to $ billion by 2022. These statistics are evidence of the potential growth of AI and Machine Learning jobs in the global job market.

COURSE OUTLINE:

Python for Machine Learning

Programming Basics
Python Data Types
Structures and conditional statements
Python core packages
Introduction to Jupyter Notebook
Introduction to Numpy and Pandas
Data filtering and selecting
Find duplicates and treat missing values
Concatenate and transform data

Introduction to Machine Learning

Overview of Supervised and Unsupervised Machine Learning
Linear Regression
Clustering with K-means
Naive Bayes Classification
Introduction to Neural Networks

Machine Learning Algorithm

Supervised Machine Learning algorithms
K-Nearest Neighbors (KNN) concept and application
Naive Bayes concept and application
Logistic Regression concept and application
Classification Trees concept and application
Unsupervised Machine Learning algorithms
Clustering with K-means concept and application
Hierarchical Clustering concept and application

Basic Statistics for Machine Learning

Basic Statistics and Exploratory Analysis
Descriptive summary statistics with Numpy
Summarize continuous and categorical data
Outlier analysis

Data Processing for Machine Learning

Advanced-Data Mugging
Outlier Analysis
Treating for missing values
Normalization vs Standardization of data

Building and Learning Machine Learning Model

Setting up the project with ML workflow.
Data Preprocessing and statistical exploration
Building, Training, and evaluation of Machine Learning Model

Hand on Case Study: Property Estimation with ML

Analysis of the case study: Property Estimations
Setting up the project with ML workflow
Data Preprocessing and statistical exploration
Choosing the Machine Learning Algorithm for this case
Building, Training, and evaluation of Machine Learning Model

KEY TAKEAWAYS:

After completing the Machine Learning with Python course, participants will be able to:

Understand the principles and applications of Machine Learning
Explore the utilization of Machine Learning through Python
Analyze, manipulate, and visualize data using Python libraries
Design Machine Learning algorithm
Comprehend and analyze data structures and intricate logic
Optimize predictive performance with multiple learning algorithms

ACCREDITATION:

Our Machine Learning with Python course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

ALUMNI: Our academy graduates are successfully placed in some of the top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.

WHY LEARNER’S POINT:

As one of the top providers of Machine Learning with Python courses, we have extensive experience and comprehensive knowledge in the ;

The following are the key benefits offered by our Machine Learning with Python course:

Our Machine Learning with Python course is designed based on real-world scenarios, formulating and evaluating practical requirements
Our courses strive to provide a reality check and insight into the requirements of a challenging role and how to fulfill it
We also provide live interactive sessions and hands-on experience through assignments associated with the actual work environment
To enhance the learning experience of our students we provide organized group sessions and integrated training modules
Our discrete approach to career guidance enables our students to get successfully placed in renowned organizations

Cost: 2835 AED

Discount: 60% Off for Laimoon Users!

Duration: 40 Hours

Big Data Hadoop - Aptech Computer Training , Dubai, Sharjah

Tue, 05 Jan 2021 13:14:50 +04

Introduction to Big Data

What is Big Data,
Big Data Sources
Structured data and Unstructured data Analytics

Apache Pig

Pig Latin
Load And Store Operators
Grouping And Joining
Combining And Splitting
Filtering
Sorting

Pig Latin Built-In Functions

Apache HIVE

Hive Data Types
Create Database
Drop Database
Create Table
Alter Table
Drop Table
Built-In Operators
Built-In Functions
Views And Indexes
Hiveql SelectWhere
Hiveql Joins

Apche Sqoop

Sqoop Releases
Sqoop Tools
Sqoop-import
sqoop-import-all-tables
sqoop-export

Introduction to Apache HBASE and Use Cases

Hbase Shell
Hbase Column-Oriented Understanting
HBase - Create Data
HBase - Update Data
HBase - Read Data
HBase - Delete Data
HBase - Scan

Cost: 3000 AED

Duration: Upto 30 Hours

Data Analytics in Internal Audit - LEORON Professional Development Institute , Dubai,Azerbaijan,Georgia,Kazakhstan,Oman,Saudi Arabia

Mon, 24 Feb 2020 14:30:41 +04

A practical hands-on approach to conducting Data Analytics has become a necessity since the spread of IT systems has made it a pre-requisite that auditors as well as management have the ability to examine high volumes of data and transaction in order to determine patterns and trends. In addition, the increasing need to continuously monitor and audit IT systems has created an imperative for the effective use of appropriate data mining tools.
While a variety of powerful tools are readily available today, the skills required to utilize such tools are not. Not only must the correct testing techniques be selected but the effective interpretation of outcomes presented by the software is essential in the drawing of appropriate conclusions based on the data analysis.
This means that the users of such tools must gain skills not only in the technical implementation of the software, but also in the understanding of structures and meanings of corporate data including the ability to determine the information requirements for the effective management of business.

Cost: 2870 USD

Duration: 5 Days

Certificate in Data Analysis & Reporting using Power BI - LEORON Professional Development Institute , Dubai,Azerbaijan,Georgia,Kazakhstan,Oman,Saudi Arabia

Tue, 24 Dec 2019 13:39:59 +04

Almost every organization, whatever its size, is drowning in data. Businesses need to analyze accounting data, marketing data, service data, budget data, human resources data, manufacturing data, and organizational data, among others.
Organizations need to:

Analyze historical performance data vs budgets;
Measure, track and predict sales;
Finding issues before they escalate
Develop their customer relationship
Optimize processes and operational performance

Cost: 5670 USD

Duration: 5 Days

Analyzing Data with Microsoft Power BI - Elegant Training Center , UAE, Dubai,Dubai

Mon, 08 Jul 2019 13:25:21 +04

Analyzing Data with Microsoft Power BI
Microsoft Business Intelligence (Power BI)
Power BI is quickly becoming the world's most powerful self-service business intelligence platform, and an absolutely essential tool for Finance and Business Data professionals. Microsoft Power BI transforms company data into rich visuals that facilitate new ways of thinking about and organizing data so that users can focus on what's important to achieving business goals.
The user-friendly Power BI reporting application has been designed to help users, of all experiential levels, produce insightful data analysis - hence our interactive and highly engaging BI training course helps candidates across departments communicate performance-related data in a visually understandable manner.
This course will help participants understand the fundamentals and uses of Power BI and to develop business intelligence workflow, and teach you how to connect and transform source data, build complex relational models, Analyze data with powerful DAX functions, and design stunning, interactive dashboards from scratch.
Course Outline
Part 1 - Connect & Transform the Raw Data into power bi

Types of Data Connectors
Basic Table Transformations
Text, Number & Date transformation tools
Index & Conditional Columns
Power Query Parameters
Invoke Custom Functions
Grouping, Aggregating, Pivoting & Unpivoting
Modifying, Merging & Appending Queries
Connecting to Folders and automate data loading
Change the structure of unorganized multiple data files into the proper format and combined the data into one file
Connecting to Website with Parameters
How to import data from SQL Database to Power BI
Defining Hierarchies & Categories
Connecting Data from Text files, Excel files, from Folders and Access Data Bases, etc.
Automation of data loading procedures
How to add custom columns and columns from examples
Best Practices in Power Query Data transformation

Part 2 - BUILD a Relational Data Model power bi

Intro to Database Normalization
Data ("Fact") Tables vs. Lookup ("Dimension") Tables
Creating Table Relationships
"Star" vs. "Snowflake" Schemas
Active vs. Inactive Relationships
Filter Context & Cardinality
Connecting Multiple Data Tables
Hiding Fields from Report View
Data Modeling Best Practices

Part 3 - Using DAX measures and calculated Columns

Intro to Data Analysis Expressions (DAX)
Calculated Columns vs. Measures
What is Evaluation Context
Row Context vs. Filter Context
How to create your first measure
Implicit Measures Vs Explicit Measures
DAX Syntax & Operators
Basic Date & Time Intelligence Formulas
Logical & Conditional Statements
Text, Math & Stats Functions
CALCULATE Function
Context Transition with CALCULATE
How to use Calculate and ALL & FILTER Functions
SWITCH / SWITCH (TRUE) Function
How to calculate Percentage of Parent with ALL Function
ALL SELECTED / TOPN / SELECTEDVALUE
DAX Iterators (SUMX, AVERAGEX, MINX)
How to use HASONEVALUE to fix total issues
Handle Many to Many (MTM) relationships with virtual relationships using TREATS function
How to Calculate Moving Average with DAX
Time Intelligence Functions SAMEPERIODLASTYEAR, DATEADD, YTD, MTD, QTD, DATESINPERIOD, PARRALLAL PERIOD
How to use DAX VARIABLES and simply complex DAX queries
DAX Best Practices

PART 4 - Design Interactive Reports

Intro to the Power BI Report View
Adding Objects & Basic Charts
Formatting & Filtering Options
Slicers, Timelines, Cards & KPIs
Map Visuals (Basic, Fill, ArcGIS)
Treemaps, Lines, Areas & Gauges
Using Decomposition tree
Visual Interactions and Navigation tips
Advanced visualization tips and tricks
Using Bookmarks and Selection Pane
How to use Power BI Custom Visuals
Row Level Security and Publishing to Power BI Service
Editing Report interactions & Drill through Filters
Connect drill through filters to buttons
Using the power of Artificial Intelligence (AI) with Power BI
Data Visualization best practices as per IBCS standards (International Business Communication Standards)

For Whom?

Finance & Accounting Professionals
Financial & Business Analysts
Market Research Analyst
Investment Analysts
HR Professionals
Sales Professionals

Prerequisites
Students need to bring a Laptop which has Microsoft Power BI installed. Power BI is currently only compatible with PC/Windows (not available for Mac).
There are no prerequisites for this Power BI Course - it is open and accessible to all individuals that wish to enhance their knowledge of Power BI.

Cost: 1200 AED

Discount: 50% Off for Laimoon Users!

Duration: Upto 20 Hours

Data Science - Al Manal Training Center , Abu Dhabi

Tue, 12 Mar 2019 19:40:06 +04

Cost: 3500 AED

Duration: Upto 50 Hours

Data Analytics - Al Manal Training Center , Abu Dhabi

Tue, 12 Mar 2019 19:37:41 +04

Data Analytics Training:

Data Analytics deals with leveraging the data, which is extracted for making some good decisions in a ;

Usually data is in structured and unstructured format and data analysts leverage their skills in maths, programming,

and statistics to organize and clean the ;

So, to be proficient in it, get Data analytics course in Abu Dhabi at Al Manal training institute.

Course Outline:

Python:

Introduction to Python
Datatypes
Lists, Ranges & Tuples
Dictionaries & Sets
Control flow statements
Loops in Python
Functions & Modules
Object Oriented Concepts
Using databases in Python

Data Analytics:

Introduction to Data Analytics
Data Cleaning using python
Data Visualization using python
Data Modelling using python
Machine Learning using python

Cost: 3500 AED

Duration: Upto 50 Hours