Business Analytics: Data and Decisions

Course Info

Length: 1 Week

Type: In Classroom

Available Dates

Venue

  • Dec-09-2024

    Paris

  • Dec-09-2024

    Singapore

  • Dec-16-2024

    Dubai

  • Dec-16-2024

    Barcelona

  • Dec-23-2024

    London

  • Dec-23-2024

    Istanbul

  • Dec-30-2024

    Amsterdam

  • Dec-30-2024

    Kuala Lumpur

  • Jan-06-2025

    Istanbul

  • Jan-06-2025

    Kuala Lumpur

  • Jan-13-2025

    Paris

  • Jan-13-2025

    Singapore

  • Jan-20-2025

    London

  • Jan-20-2025

    Amsterdam

  • Jan-27-2025

    Dubai

  • Jan-27-2025

    Barcelona

  • Feb-03-2025

    Istanbul

  • Feb-03-2025

    Kuala Lumpur

  • Feb-10-2025

    Paris

  • Feb-10-2025

    Singapore

  • Feb-17-2025

    London

  • Feb-17-2025

    Amsterdam

  • Feb-24-2025

    Barcelona

  • Feb-24-2025

    Dubai

  • Mar-03-2025

    Kuala Lumpur

  • Mar-03-2025

    Istanbul

  • Mar-10-2025

    Singapore

  • Mar-10-2025

    Paris

  • Mar-17-2025

    London

  • Mar-17-2025

    Amsterdam

  • Mar-24-2025

    Barcelona

  • Mar-24-2025

    Dubai

  • Apr-07-2025

    Kuala Lumpur

  • Apr-07-2025

    Istanbul

  • Apr-14-2025

    Paris

  • Apr-14-2025

    Singapore

  • Apr-21-2025

    Amsterdam

  • Apr-21-2025

    London

  • Apr-28-2025

    Dubai

  • Apr-28-2025

    Barcelona

  • May-05-2025

    Kuala Lumpur

  • May-05-2025

    Istanbul

  • May-12-2025

    Singapore

  • May-12-2025

    Paris

  • May-19-2025

    London

  • May-19-2025

    Amsterdam

  • May-26-2025

    Dubai

  • May-26-2025

    Barcelona

  • June-02-2025

    Istanbul

  • June-02-2025

    Kuala Lumpur

  • June-09-2025

    Paris

  • June-09-2025

    Singapore

  • June-16-2025

    London

  • June-16-2025

    Amsterdam

  • June-23-2025

    Barcelona

  • June-30-2025

    Dubai

  • June-30-2025

    Istanbul

  • June-30-2025

    Kuala Lumpur

  • July-07-2025

    Istanbul

  • July-07-2025

    Kuala Lumpur

  • July-14-2025

    Singapore

  • July-14-2025

    Paris

  • July-21-2025

    London

  • July-21-2025

    Amsterdam

  • July-28-2025

    Dubai

  • July-28-2025

    Barcelona

  • Aug-04-2025

    Kuala Lumpur

  • Aug-04-2025

    Istanbul

  • Aug-11-2025

    Paris

  • Aug-11-2025

    Singapore

  • Aug-18-2025

    London

  • Aug-18-2025

    Amsterdam

  • Aug-25-2025

    Barcelona

  • Aug-25-2025

    Dubai

  • Sep-01-2025

    Kuala Lumpur

  • Sep-01-2025

    Istanbul

  • Sep-08-2025

    Singapore

  • Sep-08-2025

    Paris

  • Sep-15-2025

    London

  • Sep-15-2025

    Amsterdam

  • Sep-22-2025

    Barcelona

  • Sep-29-2025

    Dubai

  • Sep-29-2025

    Kuala Lumpur

  • Sep-29-2025

    Istanbul

  • Oct-06-2025

    Kuala Lumpur

  • Oct-06-2025

    Istanbul

  • Oct-13-2025

    Paris

  • Oct-13-2025

    Singapore

  • Oct-20-2025

    Amsterdam

  • Oct-20-2025

    London

  • Oct-27-2025

    Barcelona

  • Oct-27-2025

    Dubai

  • Nov-03-2025

    Kuala Lumpur

  • Nov-03-2025

    Istanbul

  • Nov-10-2025

    Singapore

  • Nov-10-2025

    Paris

  • Nov-17-2025

    Amsterdam

  • Nov-17-2025

    London

  • Nov-24-2025

    Dubai

  • Nov-24-2025

    Barcelona

  • Dec-01-2025

    Istanbul

  • Dec-01-2025

    Kuala Lumpur

  • Dec-08-2025

    Singapore

  • Dec-08-2025

    Paris

  • Dec-15-2025

    London

  • Dec-15-2025

    Amsterdam

  • Dec-22-2025

    Barcelona

  • Dec-29-2025

    Dubai

  • Dec-29-2025

    Kuala Lumpur

  • Dec-29-2025

    Istanbul

Course Details

Course Outline

5 days course

 

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.

 

Python Primer

 

  • Operating systems overview.
  • Variables in python.
  • Creating and managing lists.
  • Numerical lists Tuples.
  • Dictionaries in python.
  • Boolean variables.
  • Conditional variables.
  • About functions.
  • Python demonstration and code manipulation.
Descriptive Analytics
 
  • What is data?
  • Data and decision making.
  • Estimate statistics of a data set.
  • Maximum likelihood estimation.
  • Detection and quantification of correlation.
  • Outliers Linear regression.
  • Real-life applications.

 

Predictive Analytics
 
  • Introduction to machine learning.
  • Machine learning process.
  • Supervised learning Forecasting vs inference.
  • Using nearest neighbours for classification problems.
  • Predict outcomes in a business context using regression trees.
  • Classify data using support vector machines.
  • Measure similarity of data clusters.
  • Predict outcomes for different clusters.
  • Machine learning in the real world.

 

Foundations of linear programming
 
  • Optimisation problems.
  • Production planning problem.
  • Capital budgeting problem Identifying the constraints.
  • The optimal solution.
  • Solving the problem in Excel.
  • Model business problems as linear programmes Integer programming.
  • Optimisation models.
  • Tricks-of-the-trade for business decisions.
  • Real-life applications.

Course Video