Skill
Probability & statistics
Distributions, expectation, and why test sets exist.
What you will be able to do
- Read a histogram
- Explain mean vs median
- Describe train/test split as an experiment
Curated resources
Start with the pick, then branch out
Scores are LearnPath editorial opinions (clarity, cost, freshness, project density) — not an objective ranking. Every YouTube item is embedded officially after a click-to-load facade.
20 minBest for beginnersLearnPath pickyoutube videobeginner
Statistics fundamentals
StatQuest20 min
Then continue the StatQuest histogram/distribution playlist.
Score 90
WatchFastest path
Alternativeinteractivebeginner
Intro to Machine Learning
Kaggle3h
Short, free, in-browser notebooks.
Score 89
Open
1h 18mOfficial docsOfficial docsyoutube coursebeginner
1. Introduction to Statistics
MIT OpenCourseWare1h 18m
MIT's opening statistics lecture: what statistics is for, sampling, variability and descriptive measures, taught with the rigour you would expect and no hand-waving. The strongest foundation available free if you intend to trust your models.
Score 76
Watch
5h 29mLearnPath pickMore curatedyoutube coursebeginner
Complete Statistics For Data Science In 6 hours By Krish Naik
Krish Naik5h 29m
Six hours covering descriptive statistics, distributions, sampling, confidence intervals and hypothesis testing with worked examples — the applied statistics course that most data-science learners actually need.
Score 82
Watch
4h 55mBest for beginnersMore curatedyoutube coursebeginner
Statistics - A Full Lecture to learn Data Science (2025 Version)
numiqo4h 55m
A five-hour statistics lecture that stays on the concepts that show up in real analysis work — descriptive statistics, distributions, sampling, confidence intervals, hypothesis testing — with the reasoning shown rather than formula-dumped. Statistics is the part of data science that ages slowest and gets skipped fastest.
Score 80
Watch