Statistics & Probability for Data Science — Data Science Roadmap
The statistical reasoning behind every data-driven conclusion
Steps in Statistics & Probability for Data Science
- Descriptive Statistics — beginner · Mean, median, variance, standard deviation and summarizing a dataset
- Probability Fundamentals — beginner · Random variables, conditional probability and independence
- Probability Distributions — beginner · Normal, binomial and other common distributions and where they show up in real data
- Hypothesis Testing & p-values — beginner · Formulating a null hypothesis and deciding whether data provides enough evidence to reject it
- Confidence Intervals — beginner · Quantifying the uncertainty around an estimate rather than reporting a single number
- Correlation vs Causation — beginner · Why a strong correlation is never enough on its own to justify a causal claim
- Bayesian Thinking Basics — beginner · Updating beliefs with new evidence using Bayes' theorem
Part of
- Data Science roadmap — the full learning path