Data Science for Business Intelligence

Course Info

Length: 1 Week

Type: In Classroom

Available Dates

Venue

  • Nov-25-2024

    Paris

  • Nov-25-2024

    Singapore

  • Dec-02-2024

    Dubai

  • Dec-02-2024

    Barcelona

  • Dec-09-2024

    Amsterdam

  • Dec-09-2024

    London

  • Dec-16-2024

    Kuala Lumpur

  • Dec-16-2024

    Istanbul

  • Dec-23-2024

    Dubai

  • Dec-23-2024

    Paris

  • Dec-30-2024

    Singapore

  • Dec-30-2024

    Barcelona

  • Jan-13-2025

    Istanbul

  • Jan-13-2025

    Kuala Lumpur

  • Jan-20-2025

    Singapore

  • Jan-20-2025

    Paris

  • Jan-20-2025

    Kuala Lumpur

  • Jan-20-2025

    Istanbul

  • Jan-27-2025

    London

  • Jan-27-2025

    Amsterdam

  • Jan-27-2025

    Paris

  • Feb-10-2025

    Istanbul

  • Feb-10-2025

    Kuala Lumpur

  • Feb-17-2025

    Paris

  • Feb-17-2025

    Singapore

  • Feb-17-2025

    Kuala Lumpur

  • Feb-17-2025

    Istanbul

  • Feb-24-2025

    Amsterdam

  • Feb-24-2025

    London

  • Mar-10-2025

    Kuala Lumpur

  • Mar-10-2025

    Istanbul

  • Mar-17-2025

    Singapore

  • Mar-17-2025

    Istanbul

  • Mar-17-2025

    Paris

  • Mar-17-2025

    Kuala Lumpur

  • Mar-24-2025

    London

  • Mar-24-2025

    Amsterdam

  • Apr-14-2025

    Istanbul

  • Apr-14-2025

    Kuala Lumpur

  • Apr-21-2025

    Singapore

  • Apr-21-2025

    Kuala Lumpur

  • Apr-21-2025

    Paris

  • Apr-21-2025

    Istanbul

  • Apr-28-2025

    London

  • Apr-28-2025

    Amsterdam

  • May-12-2025

    Kuala Lumpur

  • May-12-2025

    Istanbul

  • May-19-2025

    Istanbul

  • May-19-2025

    Paris

  • May-19-2025

    Singapore

  • May-19-2025

    Kuala Lumpur

  • May-26-2025

    Amsterdam

  • May-26-2025

    London

  • June-09-2025

    Kuala Lumpur

  • June-09-2025

    Istanbul

  • June-16-2025

    Kuala Lumpur

  • June-16-2025

    Istanbul

  • June-16-2025

    Singapore

  • June-16-2025

    Paris

  • June-23-2025

    Amsterdam

  • June-30-2025

    London

  • July-14-2025

    Kuala Lumpur

  • July-14-2025

    Istanbul

  • July-21-2025

    Istanbul

  • July-21-2025

    Paris

  • July-21-2025

    Singapore

  • July-21-2025

    Kuala Lumpur

  • July-28-2025

    Amsterdam

  • July-28-2025

    London

  • Aug-11-2025

    Kuala Lumpur

  • Aug-11-2025

    Istanbul

  • Aug-18-2025

    Kuala Lumpur

  • Aug-18-2025

    Singapore

  • Aug-18-2025

    Istanbul

  • Aug-18-2025

    Paris

  • Aug-25-2025

    London

  • Aug-25-2025

    Amsterdam

  • Sep-08-2025

    Istanbul

  • Sep-08-2025

    Kuala Lumpur

  • Sep-15-2025

    Istanbul

  • Sep-15-2025

    Kuala Lumpur

  • Sep-15-2025

    Singapore

  • Sep-15-2025

    Paris

  • Sep-22-2025

    Amsterdam

  • Sep-29-2025

    London

  • Oct-13-2025

    Istanbul

  • Oct-13-2025

    Kuala Lumpur

  • Oct-20-2025

    Istanbul

  • Oct-20-2025

    Paris

  • Oct-20-2025

    Kuala Lumpur

  • Oct-20-2025

    Singapore

  • Oct-27-2025

    London

  • Oct-27-2025

    Amsterdam

  • Nov-10-2025

    Istanbul

  • Nov-10-2025

    Kuala Lumpur

  • Nov-17-2025

    Kuala Lumpur

  • Nov-17-2025

    Paris

  • Nov-17-2025

    Istanbul

  • Nov-17-2025

    Singapore

  • Nov-24-2025

    Amsterdam

  • Nov-24-2025

    London

  • Dec-08-2025

    Kuala Lumpur

  • Dec-08-2025

    Istanbul

  • Dec-15-2025

    Paris

  • Dec-15-2025

    Singapore

  • Dec-15-2025

    Kuala Lumpur

  • Dec-15-2025

    Istanbul

  • Dec-22-2025

    Amsterdam

  • Dec-29-2025

    London

Course Details

Course Outline

5 days course

Introduction to Data Science and Business Intelligence

  • Understanding the basics of data science and business intelligence
  • Key differences between the two fields
  • Overview of popular data science tools and techniques

 

Data Collection and Cleaning

  • How to collect and clean data for analysis
  • Introduction to spreadsheets and basic data manipulation using Microsoft Excel or Google Sheets
  • Hands-on exercises in data cleaning and formatting

Data Visualisation and Analysis

  • Basics of data visualisation and how to communicate insights to stakeholders
  • Introduction to creating charts and graphs in Excel or Google Sheets
  • Hands-on exercises in creating basic data visualisations and identifying patterns in data

 

Introduction to Machine Learning

  • Overview of machine learning and its applications in business intelligence
  • Introduction to supervised and unsupervised learning
  • Hands-on exercises with simple machine learning algorithms in Excel or Google Sheets

 

Business Intelligence Applications and Conclusion

  • Real-world examples of how data science and machine learning are applied in business intelligence
  • Discussion on the business impact of data science and its limitations
  • Closing thoughts and next steps for pursuing a career in data science for business intelligence.

Course Video