Business Analytics: Data and Decisions

Course Info

Length:

5 Days

Type:

In Classroom
Available DatesVenue
2025-05-05London
2025-06-23Dubai
2025-06-23Barcelona
2025-06-23Paris
2025-06-23Istanbul
2025-06-23Amsterdam
2025-06-23Kuala Lumpur
2025-06-23Singapore
2025-07-07London
2025-08-04Dubai
2025-09-22Singapore
2025-09-22Amsterdam
2025-09-22Kuala Lumpur
2025-09-22London
2025-09-22Istanbul
2025-09-22Paris
2025-09-22Barcelona
2025-10-06Dubai
2025-11-03London
2025-12-22Barcelona
2025-12-22Amsterdam
2025-12-22Paris
2025-12-22Istanbul
2025-12-22Kuala Lumpur
2025-12-22Singapore
2025-12-22Dubai

Course Details

  • Introduction

  • Objective

  • Who should attend

In today's data-driven economy, organizations face vast amounts of information, but not all data leads to meaningful decisions. Many professionals struggle to connect the dots between raw data and actionable insights, resulting in missed opportunities, inefficient operations, and poor strategic choices. To compete and grow in a dynamic market, businesses must develop the capability to turn data into decisions that are backed by sound analytical methods and aligned with strategic goals.


Business Analytics: Data and Decisions is a comprehensive, hands-on training program designed to empower professionals with the skills and tools to analyze data effectively and make smarter business decisions. This 5-day course blends theory and practice in statistics, probability, programming, optimization, and machine learning—all key pillars of business analytics. Participants will learn to extract insights from data, build predictive models, and apply optimization techniques to solve real-world business challenges.


Through a mix of practical exercises, Python programming demonstrations, and applied analytics case studies, this course provides a robust foundation for professionals looking to harness the power of analytics to drive results.

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

Maths and Statistics Primer


  • Understanding the importance of data analytics in a business context 
  • The role of data in drawing business decisions 
  • Introduction to probability theory and its models 
  • Conditional probability and Bayes' Theorem applications 
  • Explaining the law of total probability 
  • Introduction to probability and binomial distributions
  • Describing the central limit theorem and its implications
  • Techniques for manipulating normal distributions

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