DSDataSense

Reading paths

Curated reading routes through the concepts and field notes, ordered so each builds on the one before it. Pick the one that matches what you’re trying to reason about — or read them in any order you like.

Foundations of Data Thinking

~4 hours

For anyone who wants to think more clearly about numbers and evidence.

8 readings
  1. 1EssayWhy Averages Lie
  2. 2Mean vs. Median
  3. 3Standard Deviation and Variance
  4. 4Histograms and Distribution Shapes
  5. 5The Normal Distribution
  6. 6Trend vs. Noise
  7. 7Correlation vs. Causation
  8. 8EssayThe Alert at 11 PM

Statistics for Practitioners

~5 hours

For data analysts, researchers, and anyone who reads studies.

8 readings
  1. 1Standard Deviation and Variance
  2. 2Sampling
  3. 3The Central Limit Theorem
  4. 4Confidence Intervals
  5. 5P-Values
  6. 6Effect Size
  7. 7Multiple Comparisons
  8. 8EssayReading Research After the Replication Crisis

Causal Reasoning

~3 hours

For anyone who needs to turn data into defensible decisions.

4 readings
  1. 1Correlation vs. Causation
  2. 2Confounding Variables
  3. 3Base Rate Neglect
  4. 4GuideHow to Read a Study Without Being Fooled