Data Science & Machine Learning
Data scientists and ML engineers turn data into decisions and products — analyzing datasets, running experiments, and building predictive models, then communicating what the results actually mean.
Statistical intuition, correlation traps, and the probabilistic reasoning DS/ML interviews test.
Games for this track
Correlation isn't causation.
Data Intuition
Short scenarios testing statistical intuition: confounders, sample size, R², and the causation trap.
Relevance ★★★★★
Fair coin, or biased?
Bayesian Updating
Start at a 50/50 prior, observe a sequence of flips, and update to the correct posterior probability.
Relevance ★★★★★
Monty Hall and friends.
Conditional Probability
The probability questions people actually get wrong: conditional probability, Bayes, cards without replacement, Monty Hall.
Relevance ★★★★★
What comes next?
Sequence Recognition
Arithmetic, geometric, square, and Fibonacci-style sequences. Spot the rule and enter the next number before the streak breaks.
Relevance ★★★★★
Blink and you'll miss it.
Rapid Graph Interpretation
A bar chart flashes on screen, then disappears. Recall the max, the min, or a specific value from memory.
Relevance ★★★★★
Is it worth paying to know?
Information Value
A bet, and a price to learn the outcome in advance. Decide whether the information is worth more than it costs.
Relevance ★★★★★