Data literacy for beginners (updated 2022-2023)

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Data Literacy for beginners is a one-hour webinar designed to introduce staff and students to the concepts first published in a popular statistics pamphlet, entitled How To Lie with Statistics, by Darrell Huff in 1954.

This webinar updates Darrell Huff's concepts, teaching you data literacy, the ability to read, understand, argue with, and make decisions from information. It will help you to spot misleading and exaggerated statistics by others and make you aware of the potential pitfalls involving data, whilst conducting your own research and data visualisations.

The topics covered loosely follow Darrell Huff's original chapters:

Definition of data literacy
Biased samples
Averages
Small samples
All numbers in a dataset
Axes on a chart
Comparisons to a common baseline
Correlations
Extrapolating data
The single statistic
Trusting data endorsements
Next steps: Further resources

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Data literacy for beginners (updated 2022-2023)

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