Data 8: Foundations of Data Science

UC Berkeley, Fall 2026

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Week 3

Sep 7

Hello world! Welcome to Data 8!

The Midterm 1 exam will be held in-person on Monday, September 21, 8pm-10pm. The Midterm 2 exam will be held in-person on Wednesday, November 4, 8pm-10pm.

Homework 02 is due on Wednesday, September 9 @ 10 AM

Lab 03 has been released and is due on Friday, September 11 @ 5 PM.

Homework 03 has been released and is due on Wednesday, September 16 @ 10 AM.

Starting this week, all students can attend in-person lecture. There is no lecture on Monday, September 7 (Labor Day).

Week 2

Aug 31

Hello world! Welcome to Data 8!

The Midterm 1 exam will be held in-person on Monday, September 21, 8pm-10pm. The Midterm 2 exam will be held in-person on Wednesday, November 4, 8pm-10pm.

Homework 01 is due on Wednesday, September 2 @ 10 AM

Lab 02 has been released and is due on Friday, September 4 @ 5 PM

Homework 02 has been released and is due on Wednesday, September 9 @ 10 AM

Week 1

Aug 26

Hello world! Welcome to Data 8!

The Midterm 1 exam will be held in-person on Monday, September 21, 8pm-10pm. The Midterm 2 exam will be held in-person on Wednesday, November 4, 8pm-10pm.

Week 1

Wed, Aug 26	Lab 1 Lab 1 (due 8/28) Lecture 1Introduction Discussion 1By the Numbers	Reading 1.1, 1.2, 1.3
Thu, Aug 27	Homework 1Homework 1 (due 9/2)
Fri, Aug 28	Lecture 2Cause and Effect	Reading 2

Week 2

Mon, Aug 31	Lecture 3Python Lab 2Lab 2 (due 9/4)	Reading 3
Wed, Sep 02	Lecture 4Data Types Discussion 2Intro to Tables & Causation	Reading 4, 5
Thu, Sep 03	Homework 2Homework 2 (due 9/9)
Fri, Sep 04	Lecture 5Tables	Reading 6.1, 6.2

Week 3

Mon, Sep 07	Academic Holiday Lab 3Lab 3 (due 9/11)
Wed, Sep 09	Lecture 6Case Study: Census Discussion 3Visualizations, Data Types, Extending Tables	Reading 6.3, 6.4
Thu, Sep 10	Homework 3Homework 3 (due 9/16)
Fri, Sep 11	Lecture 7Data Visualizations	Reading 7, 7.1

Week 4

Mon, Sep 14	Lecture 8Histograms Lab 4Lab 4 (due 9/18)	Reading 7.2, 7.3
Wed, Sep 16	Lecture 9Functions Discussion 4More Visualizations, Intro to Functions	Reading 8, 8.1
Thu, Sep 17	Homework 4Homework 4 (due 9/30)
Fri, Sep 18	Lecture 10Midterm 1 Review

Week 5

Mon, Sep 21	Exam Midterm 1, 8-10pm
Wed, Sep 23	Lecture 11Groups Discussion 5Table Methods, Conditionals & Iteration	Reading 8.2, 8.3
Thu, Sep 24
Fri, Sep 25	Lecture 12Pivots and Joins Project 1Project 1 (Checkpoint due 10/2, Entire project due 10/9)	Reading 8.4

Week 6

Mon, Sep 28	Lecture 13Conditionals and Iteration	Reading 9, 9.1, 9.2
Wed, Sep 30	Lecture 14Chance Discussion 6Chance & Models	Reading 9.2, 9.3, 9.4
Thu, Oct 01
Fri, Oct 02	Lecture 15Sampling	Reading 9.5, 10, 10.1

Week 7

Mon, Oct 05	Lecture 16Models Lab 5Lab 5 (due 10/9)	Reading 10.2, 10.3, 10.4
Wed, Oct 07	Lecture 17Comparing Distributions Discussion 7Midterm Review	Reading 11.1, 11.2
Thu, Oct 08	Homework 5Homework 5 (due 10/14)
Fri, Oct 09	Lecture 18Decisions and Uncertainty	Reading 11.3, 11.4

Week 8

Mon, Oct 12	Lecture 19A/B Testing Lab 6Lab 6 (due 19/16)	Reading 11.4, 12.1
Wed, Oct 14	Lecture 20Causality Discussion 8More Midterm Review	Reading 12.2, 12.3
Thu, Oct 15	Homework 6Homework 6 (due 10/21)
Fri, Oct 16	Lecture 21Confidence Intervals	Reading 13, 13.1, 13.2

Week 9

Mon, Oct 19	Lecture 22Interpreting Confidence Lab 7Lab 7 (due 10/23)	Reading 13.3, 13.4
Wed, Oct 21	Lecture 23Center and Spread Discussion 9The Bootstrap	Reading 14, 14.1, 14.2
Thu, Oct 22	Homework 7Homework 7 (due 10/28)
Fri, Oct 23	Lecture 24The Normal Distribution	Reading 14.3, 14.4

Week 10

Mon, Oct 26	Lecture 25Sample Means Lab 8Lab 8 (due 10/30)	Reading 14.5
Wed, Oct 28	Lecture 26Case Study: Elections Discussion 10The Central Limit Theorem	Reading 14.6
Thu, Oct 29	Homework 8Homework 8 (due 11/10)
Fri, Oct 30	Lecture 27Numerical Associations	Reading 15.1

Week 11

Mon, Nov 02	Lecture 28Midterm 2 Review
Wed, Nov 04	Exam Midterm 2, 8-10pm No Lecture Discussion 11Correlation & Regression
Thu, Nov 05
Fri, Nov 06	Lecture 29Linear Regression Project 2Project 2 (Checkpoint due 11/13, Entire project due 11/20)	Reading 15.2

Week 12

Mon, Nov 09	Lecture 30Least Squares	Reading 15.3, 15.4
Wed, Nov 11	Academic Holiday Discussion 12Residuals
Thu, Nov 12	Homework 9Homework 9 (due 11/18)
Fri, Nov 13	Lecture 31Residuals	Reading 15.5

Week 13

Mon, Nov 16	Lecture 32Regression Inference Lab 9Lab 9 (due 11/20)	Reading 16
Wed, Nov 18	Lecture 33Classification Discussion 13Intervals for Predictions & kNN Classification	Reading 17.1, 17.2
Thu, Nov 19	Homework 10Homework 10 (Due 11/25)
Fri, Nov 20	Lecture 34Implementing Classifiers Project 3Project 3 (Checkpoint due 11/30, Entire project due 12/4)	Reading 17.3, 17.4

Week 14

Mon, Nov 23	Lecture 35Evaluating Classifiers	Reading 17.5
Wed, Nov 25	Non-Instructional Day Discussion 14Bayes
Thu, Nov 26	Academic Holiday
Fri, Nov 27	Academic Holiday

Week 15

Mon, Nov 30	Homework 11 Homework 11 (due 12/6) Lecture 36Updating Probabilities Lab 10Lab 10 (due 12/4)	Reading 18, 18.1, 18.2
Wed, Dec 02	Lecture 37Case Study: Health
Thu, Dec 03
Fri, Dec 04	Homework 12 Homework 12 (due 12/9) Lecture 38Conclusion

Week 16

Mon, Dec 07	RRR Week
Wed, Dec 09	RRR Week
Thu, Dec 10	RRR Week
Fri, Dec 11	RRR Week

Week 17

Mon, Dec 14	Finals Week
Tue, Dec 15	Exam Final Exam