Module · Beginner
Correlation
What r measures, what it does not, and when it lies.
- 1 lesson
- 14 min
- 2 simulations
Free module
Data Analytics: Statistics & Data Visualization· Statistics
Bayesian
How to invert a probability, and why a 99%-accurate test can be wrong nine times in ten.
- Level
- Beginner
- Lessons
- 1
- Total time
- 18 min
- Simulations
- 1
Included in Data Analytics: Statistics & Data Visualization · $9
Tools you'll use
Python
pandas
NumPy
Skills
- Bayes' theorem
- Base rates
- Conditional probability
Try it now — free
This is the real simulation from the module. No account needed.
What you will be able to do
- Invert a probability with Bayes' rule
- Explain why a 99%-accurate test can be wrong most of the time
- Update a belief as new evidence arrives
Syllabus
1 lesson · 18 minEvery lesson's title and summary is public. The lessons themselves open once you own the track.
Every lesson in Data Analytics: Statistics & Data VisualizationInverting a Probability
18 minP(positive | ill) and P(ill | positive) are very different numbers. Swapping them is the most expensive mistake in applied statistics.
Included with the track Simulation
Lifetime access
$9More in Data Analytics: Statistics & Data Visualization
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Sampling & Hypothesis Testing
Why sample means behave so predictably, what a p-value really means, and how much data you need.
- 3 lessons
- 58 min
- 5 simulations
Included in Data Analytics: Statistics & Data Visualization· $9
Module · Intermediate
A/B Testing
Designing, running and reading product experiments — including the mistakes that make the results meaningless.
- 4 lessons
- 1h 3m
- 4 simulations
Included in Data Analytics: Statistics & Data Visualization· $9
Module · Intermediate
Regression for Analysts
Reading coefficients, controlling for confounders, and checking whether a regression can be trusted.
- 3 lessons
- 49 min
- 4 simulations
Included in Data Analytics: Statistics & Data Visualization· $9