Statistical Thinking for Analysts

From p-values to posterior — when each tool earns its place.

★ 4.9 (517 ratings) · 7.0 hours of material · 18 lessons · Intermediate · 5,857 learners
M Maya Halpern Senior product analyst at a logistics firm

What you'll be able to do

  • ✓ Sampling theory
  • ✓ Distribution selection
  • ✓ CIs & p-values
  • ✓ Bayesian intuition

Course program

  1. 01 Lesson 1 — placeholder title ~23m
  2. 02 Lesson 2 — placeholder title ~23m
  3. 03 Lesson 3 — placeholder title ~23m
  4. 04 Lesson 4 — placeholder title ~23m
  5. 05 Lesson 5 — placeholder title ~23m
  6. 06 Lesson 6 — placeholder title ~23m
  7. 07 Lesson 7 — placeholder title ~23m
  8. 08 Lesson 8 — placeholder title ~23m
  9. 09 Lesson 9 — placeholder title ~23m
  10. 10 Lesson 10 — placeholder title ~23m
  11. 11 Lesson 11 — placeholder title ~23m
  12. 12 Lesson 12 — placeholder title ~23m
  13. 13 Lesson 13 — placeholder title ~23m
  14. 14 Lesson 14 — placeholder title ~23m
  15. 15 Lesson 15 — placeholder title ~23m
  16. 16 Lesson 16 — placeholder title ~23m
  17. 17 Lesson 17 — placeholder title ~23m
  18. 18 Lesson 18 — placeholder title ~23m

Real lesson titles arrive once the catalog database is connected.

Reviews (2)

Kalo I. Verified learner
★ 5 · 2026-04-09

This is the one I'll send to my team.

Aiko N.
★ 5 · 2025-08-20

Best class I've taken this year. The examples were the difference.

Some reviews above are platform-generated samples while we seed each course; verified learner reviews are surfaced first as they arrive. See our reviews policy.

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