Data Visualization & Interpretation
Data visualization is the presentation of data graphically for better and faster analytics, and communication of business insights. Instead of creating visuals that help communicate quickly and clearly, presentations can be complex and confusing and may misrepresent the data – leading to no or poor business decisions. This may be because the wrong charts, metrics, or resolution are used.
This data visualization and interpretation course shares best-in-class data visualization techniques and instruction on how to interpret different chart types. Charts should support your story – not make it more difficult to understand. Using the right chart with the proper formatting allows your audience to quickly see the story.
Which chart allows the best analysis for understanding my business?
To effectively communicate business insights, do you know…
- you should not use 3-D charts?
- in most cases there is a better chart than a pie chart (and a doughnut chart is worse than a pie chart)?
- how to confidently interpret line charts?
- which type of line chart should be used for different types of data?
- what causes poor data visualization?
Data Visualization & Interpretation Course
Topics:
- Tables versus charts – how tables can be misleading
- Not all charts help communicate the story
- Components of good data visualization
- Accurately represent data
- Strengths and weaknesses of different chart types
- Dangers of point-to-point comparisons
- How to interpret line charts
- Understanding the shape of the data
- Effective visual aesthetics
An in-depth review of what charts to use, how to interpret them and how to prepare for clear and quick communication.
- Time:
4 hours of self-paced online lessons, knowledge checks and quizzes. - Audience:
Anyone who uses charts to analyze data or communicate a story.
