Course Info

Date: Apr-28-2025

Length: 1 Week

City: Kuala Lumpur

Fees: 3,990

Type: In Classroom

Available Dates

  • Jan-27-2025

    Kuala Lumpur

  • Apr-28-2025

    Kuala Lumpur

  • July-28-2025

    Kuala Lumpur

  • Oct-27-2025

    Kuala Lumpur

Dates in Other Venues

  • Dec-30-2024

    Paris

  • Dec-30-2024

    Dubai

  • Jan-27-2025

    Singapore

  • Jan-27-2025

    Istanbul

  • Jan-27-2025

    Paris

  • Jan-27-2025

    Barcelona

  • Jan-27-2025

    Amsterdam

  • Jan-27-2025

    Dubai

  • Feb-24-2025

    London

  • Mar-03-2025

    Dubai

  • Apr-28-2025

    Barcelona

  • Apr-28-2025

    Amsterdam

  • Apr-28-2025

    Paris

  • Apr-28-2025

    Istanbul

  • Apr-28-2025

    Singapore

  • Apr-28-2025

    London

  • May-26-2025

    Dubai

  • June-02-2025

    London

  • July-28-2025

    Dubai

  • July-28-2025

    Istanbul

  • July-28-2025

    Barcelona

  • July-28-2025

    Singapore

  • July-28-2025

    Amsterdam

  • July-28-2025

    Paris

  • Aug-25-2025

    London

  • Sep-01-2025

    Dubai

  • Oct-27-2025

    Singapore

  • Oct-27-2025

    Barcelona

  • Oct-27-2025

    London

  • Oct-27-2025

    Istanbul

  • Oct-27-2025

    Paris

  • Oct-27-2025

    Amsterdam

  • Nov-24-2025

    Dubai

  • Dec-01-2025

    London

Course Details

Course Outline

5 days course

Introduction to Data Visualization

  • Overview of data visualization and its importance
  • Principles of effective data visualization
  • Common types of charts and graphs
  • Understanding data types and variables

 

Data Collection and Preparation for Visualization

  • Collecting and preparing data for visualization
  • Cleaning and transforming data for better insights
  • Choosing the right data format for visualization
  • Introduction to data visualization software

Designing Effective Visualizations

  • Choosing the right type of chart or graph for your data
  • Design principles for creating effective visualizations
  • Color theory and best practices for color selection
  • Using typography and labels effectively

 

Advanced Data Visualization Techniques

  • Creating interactive visualizations for greater user engagement
  • Incorporating maps and geospatial data
  • Best practices for dashboard design
  • Incorporating statistical analysis in visualizations

 

Presenting and Communicating Data Effectively

  • Tips for presenting data to a non-technical audience
  • Using storytelling techniques in data visualization
  • Designing presentations with visualizations
  • Best practices for data-driven decision-making

Course Video