Data Visualization: Best Practices for Creating Visuals


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
Most organizations depend on data visualization to help drive business decisions. Using the correct charts and graphs helps communicate the right information and identify patterns and trends within your data. You'll begin this course by identifying the importance of data visualization and its application in curating data that is easy to digest, understand, and interpret. Next, you'll discover best practices for visualizing data and the significance of creating user-centered visuals. You'll then explore different presentation types such as comparison, composition, distribution, trends, and relationship, and learn how to map your charts to these categories. Finally, you'll investigate the use cases for popular charts such as line charts, pie charts, histograms, scatter plots, and others. You'll also recognize when to use specialized charts such as Gantt charts, sunburst charts, and Sankey diagrams.

Expected Duration (hours)
1.1

Lesson Objectives

Data Visualization: Best Practices for Creating Visuals

  • discover the key concepts covered in this course
  • recognize the importance of data visualization in the age of big data
  • list best practices for visualizing data
  • outline different presentation types and considerations before choosing a chart type for your data
  • identify use cases that require tables and bar charts
  • list use cases and best practices for line charts and pie charts
  • recognize use cases that require histograms and box plots
  • identify use cases and best practices for scatter charts and bubble charts
  • recognize use cases for specialized chart types such as Gantt charts and waterfall charts
  • outline the use cases for heatmaps, funnel charts, sunburst charts, and Sankey diagrams
  • summarize the key concepts covered in this course
  • Course Number:
    it_dadabpdj_01_enus

    Expertise Level
    Beginner