YouTube
Free Online Course
English
9 hours worth of material
selfpaced
Syllabus
Crash Course Statistics Preview.
What Is Statistics: Crash Course Statistics #1.
Mathematical Thinking: Crash Course Statistics #2.
Mean, Median, and Mode: Measures of Central Tendency: Crash Course Statistics #3.
Measures of Spread: Crash Course Statistics #4.
Charts Are Like Pasta - Data Visualization Part 1: Crash Course Statistics #5.
Plots, Outliers, and Justin Timberlake: Data Visualization Part 2: Crash Course Statistics #6.
The Shape of Data: Distributions: Crash Course Statistics #7.
Correlation Doesn’t Equal Causation: Crash Course Statistics #8.
Controlled Experiments: Crash Course Statistics #9.
Sampling Methods and Bias with Surveys: Crash Course Statistics #10.
Science Journalism: Crash Course Statistics #11.
Henrietta Lacks, the Tuskegee Experiment, and Ethical Data Collection: Crash Course Statistics #12.
Probability Part 1: Rules and Patterns: Crash Course Statistics #13.
Probability Part 2: Updating Your Beliefs with Bayes: Crash Course Statistics #14.
The Binomial Distribution: Crash Course Statistics #15.
Geometric Distributions and The Birthday Paradox: Crash Course Statistics #16.
Randomness: Crash Course Statistics #17.
Z-Scores and Percentiles: Crash Course Statistics #18.
The Normal Distribution: Crash Course Statistics #19.
Confidence Intervals: Crash Course Statistics #20.
How P-Values Help Us Test Hypotheses: Crash Course Statistics #21.
P-Value Problems: Crash Course Statistics #22.
Playing with Power: P-Values Pt 3: Crash Course Statistics #23.
You Know I’m All About that Bayes: Crash Course Statistics #24.
Bayes in Science and Everyday Life: Crash Course Statistics #25.
Test Statistics: Crash Course Statistics #26.
T-Tests: A Matched Pair Made in Heaven: Crash Course Statistics #27.
Degrees of Freedom and Effect Sizes: Crash Course Statistics #28.
Chi-Square Tests: Crash Course Statistics #29.
P-Hacking: Crash Course Statistics #30.
The Replication Crisis: Crash Course Statistics #31.
Regression: Crash Course Statistics #32.
ANOVA: Crash Course Statistics #33.
ANOVA Part 2: Dealing with Intersectional Groups: Crash Course Statistics #34.
Fitting Models Is like Tetris: Crash Course Statistics #35.
Supervised Machine Learning: Crash Course Statistics #36.
Unsupervised Machine Learning: Crash Course Statistics #37.
Intro to Big Data: Crash Course Statistics #38.
Big Data Problems: Crash Course Statistics #39.
Statistics in the Courts: Crash Course Statistics #40.
Neural Networks: Crash Course Statistics #41.
War: Crash Course Statistics #42.
When Predictions Fail: Crash Course Statistics #43.
When Predictions Succeed: Crash Course Statistics #44.
Taught by
CrashCourse
