Statistics so you don't fool yourself: explore, estimate and compare
An AI copilot calculates an average, a correlation or a “significant result” for you in seconds, and does not warn you when that number does not mean what it seems to. This course goes through, in four blocks, the four classic ways of fooling yourself with data and the check that prevents each one: the summary that hides the shape, the cleaning nobody recorded, the figure without a margin and the difference found by dint of searching.
Private Course
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| Responsible | Carlos Pascual |
|---|---|
| Last Update | 2026-10-06 |
| Completion Time | 5 hours 5 minutes |
| Members | 1 |
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Intermediate
Data, Analytics and AI
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Preview
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Block 1: The shape of the data: looking before summarizing3Lessons · 1 hr 15 min
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Looking at a whole column
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Two variables at once
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Block 1 exam10 xp
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Block 2: Preparing: the odd, the missing and what gets recorded3Lessons · 1 hr 15 min
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Outliers: error or finding?
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Missing data
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Block 2 exam10 xp
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Block 3: Estimating with a margin: from the sample to the whole3Lessons · 1 hr 15 min
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Sample, population and margin
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Repeating the sample with the computer
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Block 3 exam10 xp
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Block 4: Comparing: is there a difference or is it chance?3Lessons · 1 hr 15 min
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Testing a difference
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Experiments, searches and causes
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Block 4 exam10 xp
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