Data Visualization eLearning

Master data visualization techniques through eLearning, effectively communicating and interpreting data to drive impactful decisions.

Overview

 This course covers skills and best practices for making data visible, communicating the information contained in data quickly and efficiently, and using data to tell stories and support decision-making. By the end of the course, you'll understand core terms and definitions and be able to design impactful data visuals for a variety of different audiences and situations. 

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Full course details

Course outline

Part 1: Data Visualization

  • Understand what data visualization and its various benefits
  • Learn each step of the Data Visualization Process
  • Learn how AI and data visualization are interconnected

Part 2: Types of Charts and Graphs

  • Understand when to use popular charts and graphs
  • Learn the advantages and disadvantages of popular charts and graphs
  • Learn design tips for popular charts and graphs  

Part 3: Reporting Options

  • Know what different reporting options are available
  • Know which reporting option is appropriate for an audience
  • Learn when to self-serve data and when not to 

Part 4: Design Best Practices

  • Understand different visual design challenges
  • Learn various design tips when making visualizations

Part 5: How to Present Your Data

  • Deal with different data visualization stakeholders
  • Effectively tell a story using data visualizations
  • Avoid common presentation mistakes  

Part 6: Final assessment

Audience / prerequisites

Professionals who would benefit from this training include:

  • Data Analyst
  • Business Analyst
  • UX/UI Designer
  • Product Manager
  • Operations Analyst 
  • Marketing Analyst

In this class you will learn how to
  • Know how to structure and display data, as well as use data to create a story
  • Understand data visualization through an end-user perspective
  • Articulate requirements for visualization to maximize end-user functionality

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