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 2021 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