Data Science for Business Intelligence

Course Info

Length: 1 Week

City: Dubai

Type: In Classroom

Available Dates

  • Feb-17-2025

    Dubai

  • Apr-21-2025

    Dubai

  • June-16-2025

    Dubai

  • Aug-18-2025

    Dubai

  • Oct-20-2025

    Dubai

  • Dec-15-2025

    Dubai

Dates in Other Venues

  • Dec-30-2024

    Kuala Lumpur

  • Dec-30-2024

    Istanbul

  • Dec-30-2024

    Paris

  • Jan-20-2025

    London

  • Mar-17-2025

    Kuala Lumpur

  • Mar-17-2025

    Istanbul

  • Mar-17-2025

    Paris

  • Mar-17-2025

    Barcelona

  • Mar-17-2025

    Amsterdam

  • Mar-17-2025

    Singapore

  • Mar-17-2025

    London

  • May-19-2025

    London

  • June-16-2025

    Barcelona

  • June-16-2025

    Singapore

  • June-16-2025

    Istanbul

  • June-16-2025

    Amsterdam

  • June-16-2025

    Paris

  • June-16-2025

    Kuala Lumpur

  • July-21-2025

    London

  • Sep-15-2025

    Paris

  • Sep-15-2025

    Barcelona

  • Sep-15-2025

    Amsterdam

  • Sep-15-2025

    London

  • Sep-15-2025

    Singapore

  • Sep-15-2025

    Istanbul

  • Sep-15-2025

    Kuala Lumpur

  • Nov-17-2025

    London

  • Dec-15-2025

    Barcelona

  • Dec-15-2025

    Istanbul

  • Dec-15-2025

    Singapore

  • Dec-15-2025

    Paris

  • Dec-15-2025

    Kuala Lumpur

  • Dec-15-2025

    Amsterdam

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