Business Analytics: Data and Decisions

Course Info

Date:

2025-06-23

Length:

5 Days

Type:

In Classroom

Fees:

£ 3980

City:

Kuala Lumpur

Available Dates

2025-09-22

Kuala Lumpur

2025-12-22

Kuala Lumpur

Dates in Other Venues

2025-04-07

Dubai

2025-05-05

London

2025-06-23

Dubai

2025-06-23

Amsterdam

2025-06-23

Barcelona

2025-06-23

Singapore

2025-06-23

Paris

2025-06-23

Istanbul

2025-07-07

London

2025-08-04

Dubai

2025-09-22

Amsterdam

2025-09-22

Barcelona

2025-09-22

Paris

2025-09-22

Istanbul

2025-09-22

Singapore

2025-09-22

London

2025-10-06

Dubai

2025-11-03

London

2025-12-22

Istanbul

2025-12-22

Singapore

2025-12-22

Paris

2025-12-22

Dubai

2025-12-22

Barcelona

2025-12-22

Amsterdam

Course Details

  • Introduction
  • Objective
  • Who should attend
  • Course Location

Today, every organization is trying its best to use business analytics for its decision-making purposes. It basically includes quantitative and statistical analysis, predictive modelling, data mining, and multivariate testing. It breaks down past performances to draw the plan for the future.

 

Business Analytics: Data and Decisions training course will help you to expand your understanding of business analytics. It will teach you how to use descriptive, predictive and prescriptive analytics to identify, analyse and solve critical business problems.

 

Understand and explore fundamental methods,  frameworks, and business analytics techniques to make sense of your data and use it to make informed business decisions. You will also explore the  practical applications of the analytical  frameworks you are learning.

Course Outline

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

 

Maths & Statistics Primer
 
  • Introduction to probability theory.
  • Basics of probability & statistics Probability models.
  • Bayes’ rule and conditional probability.
  • Total probability.
  • Bayes’ rule application.
  • Probability distribution.
  • Binomial distribution.
  • Central limit theorem.
  • Manipulating normal variables.
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