Data & AI
Statistics Fundamentals (StatQuest with Josh Starmer)
Sikhami InstituteEnglish
Free
Join for free- 60 video lectures (10h 46m)
- Certificate of completion
- Ask the teacher your doubts
- Watch on the web and in the Android app
About this course
Josh Starmer explains the ideas of statistics clearly and simply, one concept per video, from histograms and distributions to p-values, power, linear models and maximum likelihood. Who it's for: students, analysts and anyone who wants to understand statistics before machine learning. These are the free, official videos of the "Statistics Fundamentals" playlist from the StatQuest with Josh Starmer YouTube channel (youtube.com/@statquest). All videos belong to StatQuest with Josh Starmer; Sikhami is not affiliated with StatQuest with Josh Starmer and simply arranges the public playlist into a course, so you can learn one lesson at a time and keep track of your progress.
What you will learn
• Histograms, distributions, means, variance and standard deviation • Populations, samples and estimated parameters • Hypothesis testing, p-values and statistical power • Conditional probability, expected values and likelihood • Bootstrapping and confidence intervals • Linear regression, t-tests and ANOVA with linear models • Quantiles, logs and maximum likelihood
Course content
1 section · 60 lectures · 10h 46m
1. Statistics Fundamentals
- StatQuest: Histograms, Clearly Explained3m
- The Main Ideas behind Probability Distributions5m
- The Normal Distribution, Clearly Explained!!!5m
- Population and Estimated Parameters, Clearly Explained!!!14m
- Calculating the Mean, Variance and Standard Deviation, Clearly Explained!!!14m
- What is a (mathematical) model?3m
- Hypothesis Testing and The Null Hypothesis, Clearly Explained!!!14m
- Alternative Hypotheses: Main Ideas!!!9m
- p-values: What they are and how to interpret them11m
- Fisher's Exact Test and the Hypergeometric Distribution5m
- How to calculate p-values25m
- p-hacking: What it is and how to avoid it!13m
- False Discovery Rates, FDR, clearly explained18m
- Statistical Power, Clearly Explained!!!8m
- Power Analysis, Clearly Explained!!!16m
- Covariance, Clearly Explained!!!22m
- Pearson's Correlation, Clearly Explained!!!19m
- Conditional Probabilities, Clearly Explained!!!10m
- Bayes' Theorem, Clearly Explained!!!!14m
- Expected Values, Main Ideas!!!13m
- Expected Values for Continuous Variables!!!19m
- The Binomial Distribution and Test, Clearly Explained!!!15m
- The Central Limit Theorem, Clearly Explained!!!7m
- The Difference Between Technical and Biological Replicates5m
- Sample Size and Effective Sample Size, Clearly Explained!!!6m
- Standard Deviation vs Standard Error, Clearly Explained!!!2m
- The standard error, Clearly Explained!!!11m
- Bootstrapping Main Ideas!!!9m
- Using Bootstrapping to Calculate p-values!!!8m
- Bar Charts Are Better than Pie Charts1m
- Boxplots are Awesome!!!2m
- Logs (logarithms), Clearly Explained!!!15m
- Confidence Intervals, Clearly Explained!!!6m
- R-squared, Clearly Explained!!!11m
- The Essence of Linear Regression!!!32m
- The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.)9m
- Lowess and Loess, Clearly Explained!!!10m
- Linear Regression, Clearly Explained!!!27m
- Linear Regression in R, Step-by-Step5m
- Multiple Regression, Clearly Explained!!!5m
- Multiple Regression in R, Step-by-Step!!!7m
- Using Linear Models for t-tests and ANOVA, Clearly Explained!!!11m
- Design Matrices For Linear Models, Clearly Explained!!!14m
- Sampling from a Distribution, Clearly Explained!!!3m
- Bam!!! Clearly Explained!!!2m
- StatQuickie: Thresholds for Significance6m
- StatQuickie: Which t test to use5m
- StatQuest: One or Two Tailed P-Values7m
- Quantiles and Percentiles, Clearly Explained!!!6m
- Quantile-Quantile Plots (QQ plots), Clearly Explained!!!6m
- Quantile Normalization, Clearly Explained!!!4m
- In Statistics, Probability is not Likelihood.5m
- Maximum Likelihood, clearly explained!!!6m
- Maximum Likelihood for the Exponential Distribution, Clearly Explained!!!9m
- Maximum Likelihood for the Binomial Distribution, Clearly Explained!!!11m
- Maximum Likelihood For the Normal Distribution, step-by-step!!!19m
- Odds and Log(Odds), Clearly Explained!!!11m
- Odds Ratios and Log(Odds Ratios), Clearly Explained!!!16m
- Frank Starmer Clearly Explained (How my pop influenced StatQuest!!!)6m
- Why Dividing By N Underestimates the Variance17m