Course Info

Length: 1 Week

Type: Online

Available Dates

Fees

  • Nov-25-2024

    1,800

  • Dec-23-2024

    1,800

  • Jan-13-2025

    1,800

  • Feb-10-2025

    1,800

  • Mar-10-2025

    1,800

  • Apr-14-2025

    1,800

  • May-12-2025

    1,800

  • June-09-2025

    1,800

  • July-14-2025

    1,800

  • Aug-11-2025

    1,800

  • Sep-08-2025

    1,800

  • Oct-13-2025

    1,800

  • Nov-10-2025

    1,800

  • Dec-08-2025

    1,800

Course Details

Course Outline

5 days course

Foundation of Data Visualization

 

  • Defining data visualization
  • Determining the importance of visualizing data
  • Understanding human perception and cognition in data visualization
  • Data visualization principles (Alignment, Hierarchy, Contrast, Repetition, Proximity, Balance, Color, Space)
  • Explore common chart types and their functions

Building Data Visualization

 

  • Types of data visualization:

 

  •      Exploratory Data Visualization
  •      Data Storytelling
  •      Data Exploration
  •      Data Communication

  • Utilizing data visualization tools and libraries:

  •      D3.js
  •      Tableau
  •      Power BI

  • Importing data to visualization tool
  • Selecting the best chart based on design principles for visualization
  • Applications of data visualization

Advanced Data Visualization Techniques 

 

  • Network Visualization technique
  • Text Visualization technique
  • Hierarchy & tree visualization techniques
  • Multivariate visualization technique 
  • Geospatial data visualization technique
  • Time series visualization technique

Visuals for Dashboard Design and Reporting

 

  • Dashboard design principles
  • Utilizing visualization tools for designing dashboards
  • Utilizing storytelling techniques to report data through visualizations
  • Role of usability testing and user feedback for improvement
  • Real-world examples of designed dashboards

 

Put it All Together

 

  • Ethical consideration in data visualization
  • Data visualization best practices
  • Data visualization challenges
  • Course review and answering questions
  •  Project presentation