Statistics & Probability
Not Started0 / 10 complete
Open a video or resource link, watch it, then check its box to track your progress and unlock what comes next.
10 lessons3 levels1 capstone project
Build the statistical reasoning needed for data science and experiments: distributions, expectation/variance, conditional probability, Bayes, sampling, confidence intervals, hypothesis tests, effect sizes, correlation, and uncertainty.
BASIC
- Main Ideas Behind Probability Distributions — StatQuest (7 min)
Fast intuition for distributions and uncertainty. - Probability vs Likelihood — StatQuest (6 min)
Clarifies a distinction that becomes essential in statistical inference. - Bayes Theorem Hands-On Video — StatQuest (15 min selected Time)
Build conditional-probability and evidence-updating intuition. Build / Practice Simulate
INTERMEDIATE
- Cross Validation — StatQuest
A deeper treatment of the same skill; use it to move from concept to working patterns. - ROC and AUC — StatQuest
A deeper treatment of the same skill; use it to move from concept to working patterns. - Vectors, What Even Are They? — 3Blue1Brown
Apply Statistics & Probability through the adjacent capability: Mathematics for Data Science.
ADVANCED
- But What Is a Neural Network? — 3Blue1Brown
Extend Statistics & Probability into senior/production practice through Mathematics for Data Science. - Eigenvectors and Eigenvalues — 3Blue1Brown
Extend Statistics & Probability into senior/production practice through Mathematics for Data Science. - Intermediate Course + Project — SQL for Data Analytics
Extend Statistics & Probability into senior/production practice through SQL & Analytics.