Data Analytics for Managers

Overview

Why Attend

Understanding data analytics is a key skill that every manager needs. With the enormous explosion of data that organizations have access to, managers must know where their analysts are getting evidence from and how the data was generated. In addition, it has become imperative for managers to understand how data can be used to drive organizational decisions.

Participants in this course will be able to understand how robust data analysis can be used to drive decision making and how organizations uncover new information to provide avenues for strategic moves. No prerequisite in statistics or data analytics is needed for this course.

Course Methodology

The course uses a mix of interactive techniques, such as analytical tools, case studies, presentation development, presentation delivery, and individual feedback.

Course Objectives

By the end of the course, participants will be able to:

Justify the need for investing organizational resources in data analytics
Ask the right questions to get the information needed for a robust data analysis project
Describe the methods and techniques that are used for data analytics projects
Explain how machine learning and artificial intelligence can help with data analytics
Communicate and defend data-driven findings and decisions to stakeholders

Target Audience

This course is ideal for leaders, managers, and professionals who want to learn how data analytics can help improve organizational decision-making processes.

Target Competencies

Understanding complex data
Analyzing data
Structuring data
Balanced decision-making
Visualizing data
Assessing data patterns
Influencing

Course Outline

Overview of data analytics
- An introduction to business data analytics
- Quantitative data analysis
- Navigating big data
- Data scientists: The job of the 21st century
- Thinking like a data scientist
- The process of data analytics
Gathering the right information
- Focused research
- Getting the data you need
- Asking for data and analytics
- Designing business experiments
- Using the scientific method
- The difference between data and metrics
- Understanding what is being measured
- Trusting your data
- Ensuring data is safe to use
Analyzing data
- The value of data
- Data visualization
- Overview of predictive analytics
- Looking to the future by looking at the past
- Understanding regression analysis
- Evaluating the relationship between variables
- Acting on correlation
- Assessing confidence in findings
Data analysis tools and techniques
- Machine learning
- Investing in artificial intelligence
- Statistical significance
- Linear thinking in a non-linear world
- The pitfalls of data-driven decisions
- Avoiding cognitive traps
- Analytics that can cheat
- Paying attention to outliers
Communicating findings
- The value of data
- Making meaning out of data
- Making charts that persuade
- Giving meaning to numbers
- Communicating uncertainty
- Understanding the likelihood of events
- Challenging data findings
- Ensuring that data is thorough
- Decisions and data
- Influencing through story telling

Schedule & Fees

2026 Schedule & Fees

There are no public sessions remaining for the course this year. Please contact us if you wish to have a customized in-house session, or to find out how an additional public session can be scheduled.

2027 Schedule & Fees

3 - 7 Jan, 2027

English

Per participant USD 2,900

3 - 7 Jan, 2027

Arabic

Per participant USD 2,900

24 - 28 Jan, 2027

English

Per participant USD 2,900

24 - 28 Jan, 2027

Arabic

Per participant USD 2,900

4 - 8 Apr, 2027

English

Per participant USD 2,900

4 - 8 Apr, 2027

Arabic

Per participant USD 2,900

25 - 29 Apr, 2027

English

Per participant USD 2,900

25 - 29 Apr, 2027

Arabic

Per participant USD 2,900

4 - 8 Jul, 2027

English

Per participant USD 2,900

4 - 8 Jul, 2027

Arabic

Per participant USD 2,900

25 - 29 Jul, 2027

English

Per participant USD 2,900

25 - 29 Jul, 2027

Arabic

Per participant USD 2,900

3 - 7 Oct, 2027

English

Per participant USD 2,900

3 - 7 Oct, 2027

Arabic

Per participant USD 2,900

24 - 28 Oct, 2027

English

Per participant USD 2,900

24 - 28 Oct, 2027

Arabic

Per participant USD 2,900

Next date 3 - 7 Jan, 2027

Fee USD 2,900 Per participant

Data Analytics for Managers

Overview

Why Attend

Course Methodology

Course Objectives

Target Audience

Target Competencies

Course Outline

Schedule & Fees

2026 Schedule & Fees

2027 Schedule & Fees

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