Statistics for Data Science
Build statistical foundations for data analysis and machine learning. Statistics is the language of data science.
Level: Beginner · Category: Mathematics · Estimated time: 6 hours
Prerequisites
- Mathematics for Machine Learning
Lessons
- Descriptive Statistics — Mean, median, mode, variance, standard deviation, and distributions.
- Probability Distributions — Normal, binomial, Poisson, and when to use each.
- Hypothesis Testing — Null/alternative hypotheses, p-values, and significance levels.
- Confidence Intervals — Constructing and interpreting confidence intervals.
- A/B Testing — Designing experiments, sample size, and interpreting results.
- Correlation & Regression — Pearson, Spearman, linear regression, and R-squared.
Topics covered
statistics, probability, hypothesis-testing, ab-testing, regression