Conclusion

Congratulations on completing this short course on critical data literacy!

We hope you have come away from this short course with a greater understanding of data visualizations and design decisions that can create confusion and lead to the spread of misinformation. We hope that you feel more confident analyzing and interpreting data, graphs, charts and infographics.

Learning Outcomes

Below are the learning outcomes for this course that we shared with you in the About this Course section and at the beginning of each module. Please take some time to review the full list and see how many outcomes you achieved.

By completing this short course, you should now be able to:

  1. Discuss the different stages of the data journey
  2. Explain why data visualizations are effective
  3. Differentiate between different types of data visualizations
  4. Analyze and break down a data visualization
  5. Identify misleading features in a data visualization
  6. Evaluate a data visualization using data literacy strategies
  7. Assess the credibility of a data visualization’s underlying data
  8. Explain how to “fact check” a data source
  9. Explain some of the key considerations for telling responsible stories with data
  10. Outline some effective ways to communicate data

 

 

License

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Critical Data Literacy Copyright © 2022 by Nora Mulvaney and Audrey Wubbenhorst and Amtoj Kaur is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.

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