StatQuest Statistics Fundamentals: study plan and how long it takes
The StatQuest with Josh Starmer playlist is 62 videos and 10.8 hours long. Here's how long it takes at different paces, a week-by-week schedule built from the real videos, and a planner that turns it into your own daily plan.
62 videos · 10.8 hours · StatQuest with Josh Starmer
StatQuest's Statistics Fundamentals playlist explains the core ideas of statistics clearly and visually: histograms, distributions, mean, variance and standard deviation, p-values, correlation, the central limit theorem, bootstrapping, linear regression, t-tests and maximum likelihood.
Videos are short and self-contained, and Josh Starmer's style makes intimidating topics approachable.
Who it's for: Students, data analysts and aspiring data scientists who want statistics to finally make intuitive sense.
How long does it take?
The full playlist is 10.8 hours across 62 videos. Here's roughly how many days that is at different daily watch times and speeds, counting video time only:
| Daily time | At 1x | At 1.5x | At 2x |
|---|---|---|---|
| 30 min a day | 22 days | 15 days | 11 days |
| 1 h a day | 11 days | 8 days | 6 days |
| 2 h a day | 6 days | 4 days | 3 days |
Make your own schedule
The playlist link is already filled in. Press Plan, set how much time you have each day and your speed, and you'll get a day-by-day schedule with a finish date and a calendar file. It reads the live playlist, so new videos are included.
Week-by-week schedule
A sample plan at 1 hour a day and normal speed, using whole videos so none is split across days. That's 2 weeks in total. For a different pace, start date or speed, use the planner above.
Week 1Videos 1–35 · 6h 5m
Day 1 · 47m
- 1StatQuest: Histograms, Clearly Explained4m
- 2The Main Ideas behind Probability Distributions5m
- 3The Normal Distribution, Clearly Explained!!!5m
- 4The mean, the median, and the mode.1m
- 5The Exponential Distribution1m
- 6Population and Estimated Parameters, Clearly Explained!!!15m
- 7Calculating the Mean, Variance and Standard Deviation, Clearly Explained!!!14m
- 8What is a (mathematical) model?4m
Day 2 · 41m
- 9Hypothesis Testing and The Null Hypothesis, Clearly Explained!!!15m
- 10Alternative Hypotheses: Main Ideas!!!10m
- 11p-values: What they are and how to interpret them11m
- 12Fisher's Exact Test and the Hypergeometric Distribution5m
Day 3 · 57m
- 13How to calculate p-values25m
- 14p-hacking: What it is and how to avoid it!14m
- 15False Discovery Rates, FDR, clearly explained18m
Day 4 · 47m
- 16Statistical Power, Clearly Explained!!!8m
- 17Power Analysis, Clearly Explained!!!17m
- 18Covariance, Clearly Explained!!!22m
Day 5 · 58m
- 19Pearson's Correlation, Clearly Explained!!!19m
- 20Conditional Probabilities, Clearly Explained!!!11m
- 21Bayes' Theorem, Clearly Explained!!!!14m
- 22Expected Values, Main Ideas!!!14m
Day 6 · 58m
- 23Expected Values for Continuous Variables!!!20m
- 24The Binomial Distribution and Test, Clearly Explained!!!16m
- 25The Central Limit Theorem, Clearly Explained!!!8m
- 26The Difference Between Technical and Biological Replicates5m
- 27Sample Size and Effective Sample Size, Clearly Explained!!!7m
- 28Standard Deviation vs Standard Error, Clearly Explained!!!3m
Day 7 · 56m
- 29The standard error, Clearly Explained!!!12m
- 30Bootstrapping Main Ideas!!!9m
- 31Using Bootstrapping to Calculate p-values!!!8m
- 32Bar Charts Are Better than Pie Charts2m
- 33Boxplots are Awesome!!!3m
- 34Logs (logarithms), Clearly Explained!!!16m
- 35Confidence Intervals, Clearly Explained!!!7m
Week 2Videos 36–62 · 4h 42m
Day 8 · 52m
- 36R-squared, Clearly Explained!!!11m
- 37The Essence of Linear Regression!!!32m
- 38The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.)9m
Day 9 · 56m
- 39Lowess and Loess, Clearly Explained!!!10m
- 40Linear Regression, Clearly Explained!!!27m
- 41Linear Regression in R, Step-by-Step5m
- 42Multiple Regression, Clearly Explained!!!5m
- 43Multiple Regression in R, Step-by-Step!!!8m
Day 10 · 58m
- 44Using Linear Models for t-tests and ANOVA, Clearly Explained!!!12m
- 45Design Matrices For Linear Models, Clearly Explained!!!15m
- 46Sampling from a Distribution, Clearly Explained!!!4m
- 47Bam!!! Clearly Explained!!!3m
- 48StatQuickie: Thresholds for Significance7m
- 49StatQuickie: Which t test to use5m
- 50StatQuest: One or Two Tailed P-Values7m
- 51Quantiles and Percentiles, Clearly Explained!!!7m
Day 11 · 44m
- 52Quantile-Quantile Plots (QQ plots), Clearly Explained!!!7m
- 53Quantile Normalization, Clearly Explained!!!5m
- 54In Statistics, Probability is not Likelihood.5m
- 55Maximum Likelihood, clearly explained!!!6m
- 56Maximum Likelihood for the Exponential Distribution, Clearly Explained!!!10m
- 57Maximum Likelihood for the Binomial Distribution, Clearly Explained!!!11m
Day 12 · 54m
- 58Maximum Likelihood For the Normal Distribution, step-by-step!!!20m
- 59Odds and Log(Odds), Clearly Explained!!!12m
- 60Odds Ratios and Log(Odds Ratios), Clearly Explained!!!16m
- 61Frank Starmer Clearly Explained (How my pop influenced StatQuest!!!)6m
Day 13 · 17m
- 62Why Dividing By N Underestimates the Variance17m
Tips for finishing
- Watch the p-value and hypothesis testing videos twice; they're the most misunderstood ideas in statistics.
- Follow it with StatQuest's Machine Learning playlist, which builds on these ideas.