Data Visualization: Best Practices

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Free Online Course: Data Visualization: Best Practices provided by LinkedIn Learning is a comprehensive online course, which lasts for 1-2 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Data Visualization: Best Practices is taught by Amy Balliett.

Overview
  • Learn how to build accurate, compelling data visualizations, as well as charts and graphs that look great and stand up to analysis.

Syllabus
  • Introduction

    • Best practices of data visualization
    • What you will learn
    • Exercise files
    1. Why Data Viz Matters
    • The importance of data viz in today's market
    • A quick history of data viz
    • Our level of data literacy: The brain science
    • Our level of data literacy: The charts that matter
    • Using simple charts and graphs
    • Using complex charts and graphs
    • Challenge: Pop quiz
    • Solution: Pop quiz
    2. Identifying and Shaping Your Data
    • Key questions to ask
    • Question 1: Who is your audience?
    • Question 2: What are your objectives?
    • Question 3: What data will serve your objectives?
    • Question 4: What chart or graph is best?
    • Challenge: The best charts to use
    • Solution: The best charts to use
    3. Data Viz Mistakes to Avoid
    • Being a data fiduciary
    • Mistake 1: Putting form over function
    • Mistake 2: Improper use of scales
    • Mistake 3: Manipulating the axis
    • Mistake 4: Forcing your audience to do math
    • Mistake 5: Organizing data passively
    • Mistake 6: Assuming percentage equals pie
    • Challenge: Data viz mistakes
    • Solution: Data viz mistakes
    4. Designing Charts and Graphs
    • Creating bar graphs in Adobe Illustrator
    • Creating pie charts in Adobe Illustrator
    • Creating line and area graphs in Adobe Illustrator
    • How to use labels and color
    Conclusion
    • Thank you