Data Science for Managers Learners Point Training Institute
CAREER OPPORTUNITIES:
Market Trends: Enterprises are increasingly turning to data-intensive business strategies and are adopting advanced technologies, creating many job opportunities in Data Science platforms. The market size of Data Science is expected to grow at a CAGR of 30%, from USD billion to USD billion by 2024. Due to the rapid rise of Data Science, it has become one of the most in-demand professions with expanding career opportunities.
Salary Trends: The WEF's Future of Work Report 2020 predicts that by 2025, Data Scientists will be the highest paying job with the greatest available labor supply. On average, Data Science professionals receive an annual pay hike between 20-30% compared with 15-20% for professionals from other backgrounds. In the UAE, the average salary for Data Science professionals is AED 180,974 per annum.
Demand and Opportunities: As Big Data and Analytics technology have been widely incorporated and implemented in various businesses, the demand for Data Science professionals have skyrocketed. In fact, since 2019, recruitment in the Data Science industry has increased by 46% and in the next five years, it is predicted that the global demand for Data Science professionals will increase by 200%.
COURSE OUTLINE:
Data Science Introduction
- Data Science Introduction
- Data Science Evolution
- Business Applications
- Benefits of Data Science
- Challenges of Data Science
- Data Science Context: Data Mining / Business Intelligence / Data Science
- The perspective of Data Science
- Data Science Classification
- Various Types Of Data Science
- Data Science Steps
- Recognize the Problem
- Define a Problem
- Structure the Problem
- Analyze the Problem
- Interpret the Results
- Implement Solution
- Crisp-Dm Reference Model
- Overview of Statistics
- Descriptive Statistics
- Inferential Statistics
- Basics Terminologies
- Cochran's Min Size Formula
- Types of Data
- Examples of Various Data
- Cochran’s Formula Example
- Examples of Variables
- Harnessing Data Introduction
- Making Sense of the Data
- Sampling Methods
- Simple Random Sampling
- Stratified Sampling
- Systematic Sampling
- Biased Sampling Methods
- Exploratory Data Analysis
- Measures of Central Tendencies
- Mean
- Median
- Mode
- Measures of Variability
- Range
- Calculating Standard Deviation
- Z- Score / Z-Value/ Standard Score
- Calculating Z-Score
- Histogram
- Empirical Rule
- Outliers
- Normal Distributions, Mean, Variance
- Normality Testing
- Skewness
- Kurtosis
- Correlation
- Mathematical Modeling
- Decision Modeling
- Break-Even Decision Model
- Prescriptive Model Pricing
- Sales Promotion Model
- Sales Promotion Decision
- Sales Prediction With Multiple Regression Analysis
- Kerc Inc – Car Manufacturer Case Study
- Kerc Inc Case Modeling
- Optimizing Kerc Production Model
- Wonderzon Case Study: Problem Statement
- Wonderzon Case Modeling
- Predicting Optimum Logistics Cos
- Predictive Analytics Introduction
- Types of Predictive Analytics
- Application of Predictive Analytics
- Mathematical Modeling Regression
- Simple Learning Regression
- Predicting Profit with Regression
- Multiple Regression Modeling
- Predictive Analytics Summary
- Monte Carlo Simulation Introduction
- Smart It Inc. Internet Plan: Problem Statement
- Model Building
- Optimization and Plan Decision
- Kickathlon – Supplier Decision Making
- Decision Tree Convention
- Kickathlon – Supplier Decision Tree
- Decision Tree Convention
- Common Decision Strategies
- Maxi-Min Strategy
- Maxi-Max Strategy
- Maximize Expected Value Strategy
- Decision Trees with Monte Carlo Simulation Uncertain Output Range
- Decision Tree Summary
- Tableau Introduction
- Connecting to Various Data Sources
- Fixing Data Issues while Importing
- Tableau Panes
- Creating Basic Visualizations
- Insights for Data Through Visualizations
- Exploratory Data Analysis
- Stacked Bar Graph
- Deriving Insights Through Compound Plots
- Forecasting Sales
- Adjusting Forecasting Parameters
- Various Filters Options
- Interactive Filters
- Building Effective Dashboards
- Various Publishing Options
- Tableau Packaged Workbook
- Summary
After completing the Data Science for Managers course, candidates will be able to:
- Comprehend the application of Data Science techniques in the business world
- Analyze data with advanced Data Science tools
- Engage in basic Data Science activities and interpret results
- Acquire insight on Business Analytics and Statistics
- Using Excel for decision modeling
Our Data Science for Managers 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:
Being one of the foremost providers of the Data Science for Managers course, we have vast knowledge and valuable experience in the ;
Our Data Science for Managers course offers the following benefits:
- Our Data Science for Managers 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
This course is no longer available.
- Duration: 35 Hours
Course details
OVERVIEW: Data Science is a complex and broad discipline that involves computer science, mathematics, statistics, and understanding the sources of data. The Data Science for Managers course primarily focuses on the methods and tools employed to analyze the data of a business, gather insights, and utilize them to make further business decisions. Furthermore, the course provides professionals with a thorough understanding of data analytics and its application in ;CAREER OPPORTUNITIES:
Market Trends: Enterprises are increasingly turning to data-intensive business strategies and are adopting advanced technologies, creating many job opportunities in Data Science platforms. The market size of Data Science is expected to grow at a CAGR of 30%, from USD billion to USD billion by 2024. Due to the rapid rise of Data Science, it has become one of the most in-demand professions with expanding career opportunities.
Salary Trends: The WEF's Future of Work Report 2020 predicts that by 2025, Data Scientists will be the highest paying job with the greatest available labor supply. On average, Data Science professionals receive an annual pay hike between 20-30% compared with 15-20% for professionals from other backgrounds. In the UAE, the average salary for Data Science professionals is AED 180,974 per annum.
Demand and Opportunities: As Big Data and Analytics technology have been widely incorporated and implemented in various businesses, the demand for Data Science professionals have skyrocketed. In fact, since 2019, recruitment in the Data Science industry has increased by 46% and in the next five years, it is predicted that the global demand for Data Science professionals will increase by 200%.
COURSE OUTLINE:
Data Science Introduction
- Data Science Introduction
- Data Science Evolution
- Business Applications
- Benefits of Data Science
- Challenges of Data Science
- Data Science Context: Data Mining / Business Intelligence / Data Science
- The perspective of Data Science
- Data Science Classification
- Various Types Of Data Science
- Data Science Steps
- Recognize the Problem
- Define a Problem
- Structure the Problem
- Analyze the Problem
- Interpret the Results
- Implement Solution
- Crisp-Dm Reference Model
- Overview of Statistics
- Descriptive Statistics
- Inferential Statistics
- Basics Terminologies
- Cochran's Min Size Formula
- Types of Data
- Examples of Various Data
- Cochran’s Formula Example
- Examples of Variables
- Harnessing Data Introduction
- Making Sense of the Data
- Sampling Methods
- Simple Random Sampling
- Stratified Sampling
- Systematic Sampling
- Biased Sampling Methods
- Exploratory Data Analysis
- Measures of Central Tendencies
- Mean
- Median
- Mode
- Measures of Variability
- Range
- Calculating Standard Deviation
- Z- Score / Z-Value/ Standard Score
- Calculating Z-Score
- Histogram
- Empirical Rule
- Outliers
- Normal Distributions, Mean, Variance
- Normality Testing
- Skewness
- Kurtosis
- Correlation
- Mathematical Modeling
- Decision Modeling
- Break-Even Decision Model
- Prescriptive Model Pricing
- Sales Promotion Model
- Sales Promotion Decision
- Sales Prediction With Multiple Regression Analysis
- Kerc Inc – Car Manufacturer Case Study
- Kerc Inc Case Modeling
- Optimizing Kerc Production Model
- Wonderzon Case Study: Problem Statement
- Wonderzon Case Modeling
- Predicting Optimum Logistics Cos
- Predictive Analytics Introduction
- Types of Predictive Analytics
- Application of Predictive Analytics
- Mathematical Modeling Regression
- Simple Learning Regression
- Predicting Profit with Regression
- Multiple Regression Modeling
- Predictive Analytics Summary
- Monte Carlo Simulation Introduction
- Smart It Inc. Internet Plan: Problem Statement
- Model Building
- Optimization and Plan Decision
- Kickathlon – Supplier Decision Making
- Decision Tree Convention
- Kickathlon – Supplier Decision Tree
- Decision Tree Convention
- Common Decision Strategies
- Maxi-Min Strategy
- Maxi-Max Strategy
- Maximize Expected Value Strategy
- Decision Trees with Monte Carlo Simulation Uncertain Output Range
- Decision Tree Summary
- Tableau Introduction
- Connecting to Various Data Sources
- Fixing Data Issues while Importing
- Tableau Panes
- Creating Basic Visualizations
- Insights for Data Through Visualizations
- Exploratory Data Analysis
- Stacked Bar Graph
- Deriving Insights Through Compound Plots
- Forecasting Sales
- Adjusting Forecasting Parameters
- Various Filters Options
- Interactive Filters
- Building Effective Dashboards
- Various Publishing Options
- Tableau Packaged Workbook
- Summary
After completing the Data Science for Managers course, candidates will be able to:
- Comprehend the application of Data Science techniques in the business world
- Analyze data with advanced Data Science tools
- Engage in basic Data Science activities and interpret results
- Acquire insight on Business Analytics and Statistics
- Using Excel for decision modeling
Our Data Science for Managers 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:
Being one of the foremost providers of the Data Science for Managers course, we have vast knowledge and valuable experience in the ;
Our Data Science for Managers course offers the following benefits:
- Our Data Science for Managers 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
Eligibility / Requirements
ELIGIBILITY: Data Science for Managers course is intended for professionals who are involved in decision-making roles. Candidates interested in enrolling in Data Science for Managers course should have the following:
- Basic knowledge of working in the Data Science domain
- Knowledge of statistics and mathematics
- Experience of working in a decision-making role
About Learners Point Training Institute
Empowering Professionals for a Dynamic Future in the UAELearners Point Academy is a premier provider of professional training and development solutions, dedicated to equipping individuals and organizations across the UAE with the skills and knowledge needed to thrive in today's competitive landscape.
A Commitment to Excellence
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- Business & Leadership: Sharpen your strategic thinking and management skills to lead with confidence.
- Finance & Accounting: Master financial analysis and reporting for sound decision-making.
- Human Resources: Optimize talent acquisition and cultivate a thriving workplace culture.
- Soft Skills & Personal Development: Enhance communication and leadership abilities for personal and professional growth.
- Supply Chain Management: Streamline operations and ensure efficient delivery of goods and services.
- Quality Management: Drive process improvement and deliver exceptional customer satisfaction.
At Learners Point Academy, we believe in a learner-centric approach, combining theoretical knowledge with practical application. Our expert instructors, drawn from industry leaders, provide personalized guidance and support to ensure optimal learning outcomes.
Tailored Learning Options
We understand that professionals have diverse learning needs and schedules.
Therefore, we offer a variety of delivery methods:
- Classroom Training: Benefit from face-to-face interaction and networking opportunities in our modern facilities across the UAE.
- Live Online Training: Participate in engaging virtual classes with real-time interaction for learners within the UAE and across the MENA region.
- In-Company Training: Customize training programs to meet your organization's specific needs and deliver them at your preferred location within the UAE.
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