Supplemental Videos
Disclaimer: These videos were created by Ani Adhikari, John DeNero, and David Wagner for Data 8X, a massive open online course (MOOC). They may not match what is actually covered in the Spring 2022 offering of Data 8, and should not be used as the primary resource for the class.
Lecture 1: Introduction
Lecture 2: Cause and Effect
Lecture 3: Tables
Lecture 4: Data Types
Lecture 5: Building Tables
Lecture 6: Census
Lecture 7: Charts
Lecture 8: Histograms
Lecture 9: Functions
Lecture 10: Groups
Lecture 11: Joins
Lecture 12: Table Examples
Lecture 13: Iteration
Lecture 14: Chance
Lecture 15: Sampling
Lecture 16: Models
Lecture 17: Comparing Distributions
Lecture 18: Decisions and Uncertainty
Lecture 19 & 20: P-values & A/B Testing
Lecture 21: Examples
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Lecture 22: Midterm Review
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Lecture 23: Causality
Lecture 24: Confidence Intervals
Lecture 25: Interpreting Confidence
Lecture 26: Center and Spread
Lecture 27: The Normal Distribution
Lecture 28: Sample Means
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Lecture 29: Designing Experiments
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Lecture 30: Correlation
Lecture 31: Linear Regression