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

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

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

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

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