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Data 8: Foundations of Data Science
UC Berkeley, Fall 2026
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Week 1
| Wed, Aug 26 |
Lab 1
Lab 1 (due 8/28) Lecture 1
Introduction
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| Thu, Aug 27 | Homework 1Homework 1 (due 9/2) |
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| Fri, Aug 28 | Lecture 2
Cause and Effect
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Reading
2
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Week 2
| Mon, Aug 31 | Lecture 3
Python
Discussion 1By the Numbers Lab 2Lab 2 (due 9/4) |
Reading
3
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| Wed, Sep 02 | Lecture 4
Data Types
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| Thu, Sep 03 | Homework 2Homework 2 (due 9/9) |
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| Fri, Sep 04 | Lecture 5
Tables
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Week 3
| Mon, Sep 07 | Academic Holiday Discussion 2Intro to Tables & Causation Lab 3Lab 3 (due 9/11) |
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| Wed, Sep 09 | Lecture 6
Case Study: Census
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| Thu, Sep 10 | Homework 3Homework 3 (due 9/16) |
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| Fri, Sep 11 | Lecture 7
Data Visualizations
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Week 4
| Mon, Sep 14 | Lecture 8
Histograms
Discussion 3Visualizations, Data Types, Extending Tables Lab 4Lab 4 (due 9/18) |
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| Wed, Sep 16 | Lecture 9
Functions
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| Thu, Sep 17 | Homework 4Homework 4 (due 9/30) |
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| Fri, Sep 18 | Lecture 10
Groups
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Week 5
| Mon, Sep 21 | Lecture 11
Midterm 1 Review
Discussion 4More Visualizations, Intro to Functions |
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| Wed, Sep 23 |
Exam
Midterm 1, 8-10pm |
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| Thu, Sep 24 | ||
| Fri, Sep 25 | Lecture 12
Pivots and Joins
Project 1Project 1 (Checkpoint due 10/2, Entire project due 10/9) |
Reading
8.4
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Week 6
| Mon, Sep 28 | Lecture 13
Conditionals and Iteration
Discussion 5Table Methods, Conditionals & Iteration |
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| Wed, Sep 30 | Lecture 14
Chance
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| Thu, Oct 01 | Homework 5Homework 5 (due 10/7) |
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| Fri, Oct 02 | Lecture 15
Sampling
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Week 7
| Mon, Oct 05 | Lecture 16
Models
Discussion 6Chance & Models Lab 5Lab 5 (due 10/9) |
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| Wed, Oct 07 | Lecture 17
Comparing Distributions
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| Thu, Oct 08 | Homework 6Homework 6 (due 10/14) |
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| Fri, Oct 09 | Lecture 18
Decisions and Uncertainty
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Week 8
| Mon, Oct 12 | Lecture 19
A/B Testing
Discussion 7Midterm Review Lab 6Lab 6 (due 19/16) |
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| Wed, Oct 14 | Lecture 20
Causality
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| Thu, Oct 15 | Homework 7Homework 7 (due 10/21) |
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| Fri, Oct 16 | Lecture 21
Confidence Intervals
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Week 9
| Mon, Oct 19 | Lecture 22
Interpreting Confidence
Discussion 8More Midterm Review Lab 7Lab 7 (due 10/23) |
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| Wed, Oct 21 | Lecture 23
Center and Spread
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| Thu, Oct 22 | Homework 8Homework 8 (due 10/30) |
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| Fri, Oct 23 | Lecture 24
The Normal Distribution
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Week 10
| Mon, Oct 26 | Lecture 25
Sample Means
Discussion 9The Bootstrap Lab 8Lab 8 (due 10/30) |
Reading
14.5
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| Wed, Oct 28 | Lecture 26
Case Study: Elections
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Reading
14.6
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| Thu, Oct 29 | ||
| Fri, Oct 30 | Lecture 27
Numerical Associations
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Reading
15.1
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Week 11
| Mon, Nov 02 | Lecture 28
Midterm 2 Review
Discussion 10The Central Limit Theorem |
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| Wed, Nov 04 |
Exam
Midterm 2, 8-10pm No Lecture |
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| Thu, Nov 05 | ||
| Fri, Nov 06 | Lecture 29
Linear Regression
Project 2Project 2 (Checkpoint due 11/13, Entire project due 11/20) |
Reading
15.2
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Week 12
| Mon, Nov 09 | Lecture 30
Least Squares
Discussion 11Correlation & Regression |
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| Wed, Nov 11 | Academic Holiday |
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| Thu, Nov 12 | Homework 9Homework 9 (due 11/18) |
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| Fri, Nov 13 | Lecture 31
Residuals
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Reading
15.5
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Week 13
| Mon, Nov 16 | Lecture 32
Regression Inference
Discussion 12Residuals Lab 9Lab 9 (due 11/20) |
Reading
16
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| Wed, Nov 18 | Lecture 33
Classification
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| Thu, Nov 19 | Homework 10Homework 10 (Due 11/25) |
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| Fri, Nov 20 | Lecture 34
Implementing Classifiers
Project 3Project 3 (Checkpoint due 11/30, Entire project due 12/4) |
Week 14
| Mon, Nov 23 | Lecture 35
Evaluating Classifiers
Discussion 13Intervals for Predictions & kNN Classification |
Reading
17.5
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| Wed, Nov 25 | Non-Instructional Day |
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| Thu, Nov 26 | Academic Holiday |
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| Fri, Nov 27 | Academic Holiday |
Week 15
| Mon, Nov 30 |
Homework 11
Homework 11 (due 12/6) Lecture 36
Updating Probabilities
Discussion 14Bayes Lab 10Lab 10 (due 12/4) |
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| Wed, Dec 02 | Lecture 37
Case Study: Health
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| Thu, Dec 03 | ||
| Fri, Dec 04 |
Homework 12
Homework 12 (due 12/9) Lecture 38
Conclusion
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Week 16
| Mon, Dec 07 | RRR Week |
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| Wed, Dec 09 | RRR Week |
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| Thu, Dec 10 | RRR Week |
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| Fri, Dec 11 | RRR Week |
Week 17
| Mon, Dec 14 | Finals Week |
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| Tue, Dec 15 |
Exam
Final Exam |