Data 8: Foundations of Data Science

UC Berkeley, Spring 2026

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Week 1

Jun 21

Hello world! Welcome to Data 8!

Posted readings are subject to change up until the week of the lecture.

Week 1

Mon, Jun 22	Lecture 1 Introduction Lab 1Lab 1 (due June 24)	Reading 1.1, 1.2, 1.3
Tue, Jun 23	Lecture 2 Cause and Effect Homework 1HW 1 (due June 26)	Reading 2
Wed, Jun 24	Lecture 3 Python Lab 2Lab 2 (due June 26)	Reading 3
Thu, Jun 25	Lecture 4 Data Types	Reading 4, 5
Fri, Jun 26	Lecture 5 Tables Homework 2HW 2 (due June 30)	Reading 6.1, 6.2

Week 2

Mon, Jun 29	Lecture 6 Case Study: Census Discussion 1By the Numbers Lab 3Lab 3 (due July 1) Project 1Project 1 Released	Reading 6.3, 6.4
Tue, Jun 30	Lecture 7 Data Visualizations Homework 3HW 3 (due July 3)	Reading 7, 7.1
Wed, Jul 01	Lecture 8 Histograms Discussion 2Intro to Tables & Causation Lab 4Lab 4 (due July 3)	Reading 7.2, 7.3
Thu, Jul 02	Lecture 9 Functions Homework 4HW 4 (due July 7)	Reading 8, 8.1
Fri, Jul 03	Holiday: No Lecture

Week 3

Mon, Jul 06	Lecture 10 Groups, Pivots, and Joins Discussion 3Visualizations, Data Types, Extending Tables Lab 5Lab 5 (due July 7) Project 1Project 1 Checkpoint Due	Reading 8.2, 8.3, 8.4
Tue, Jul 07	Lecture 11 Conditionals Homework 5HW 5 (due July 10)	Reading 9, 9.1
Wed, Jul 08	Lecture 12 Iteration Discussion 4More Visualizations, Intro to Functions Lab 6Lab 6 (due July 10)	Reading 9.2
Thu, Jul 09	Lecture 13 Probability and Simulation	Reading 9.3, 9.4, 9.5
Fri, Jul 10	Lecture 14 Sampling and Empirical Distributions Homework 6HW 6 (due July 14)	Reading 10, 10.1

Week 4

Mon, Jul 13	Lecture 15 Hypothesis Testing Discussion 5Table Methods, Conditionals & Iteration Lab 7Lab 7 (due July 15) Project 1Project 1 Due	Reading 10.2, 10.3, 10.4
Tue, Jul 14	Lecture 16 Decisions and Uncertainty	Reading 11.3, 11.4
Wed, Jul 15	Lecture 17 A/B Testing Discussion 6Chance & Models	Reading 11.4, 12.1
Thu, Jul 16	Lecture 18 Causality	Reading 12.2, 12.3
Fri, Jul 17	Exam Midterm Exam, 11am-1pm

Week 5

Mon, Jul 20	Lecture 19 Confidence Intervals Discussion 7Midterm Review Lab 8Lab 8 (Due July 22)	Reading 13, 13.1, 13.2
Tue, Jul 21	Lecture 20 Interpreting Confidence Homework 7HW 7 (due July 24)	Reading 13.3, 13.4
Wed, Jul 22	Lecture 21 Center and Spread Discussion 8More Midterm Review Lab 9Lab 9 (Due July 24)	Reading 14, 14.1, 14.2
Thu, Jul 23	Lecture 22 The Normal Distribution	Reading 14.3, 14.4
Fri, Jul 24	Lecture 23 Variance of Sample Means Homework 8HW 8 (due July 28)	Reading 14.5

Week 6

Mon, Jul 27	Lecture 24 Correlation Discussion 9The Bootstrap Lab 10Lab 10 (Due July 29)	Reading 15.1
Tue, Jul 28	Lecture 25 Linear Regression Homework 9HW 9 (due July 31)	Reading 15.2
Wed, Jul 29	Lecture 26 Least Squares Discussion 10The Central Limit Theorem Lab 11Lab 11 (Due July 31)	Reading 15.3, 15.4
Thu, Jul 30	Lecture 27 Residuals and Diagnostics	Reading 15.5
Fri, Jul 31	Lecture 28 Regression Inference Homework 10HW 10 (due August 4)	Reading 16

Week 7

Mon, Aug 03	Lecture 29 Classification Discussion 11Correlation & Regression Lab 12Lab 12 (Due August 5) Project 2Project 2 Released	Reading 17.1, 17.2
Tue, Aug 04	Lecture 30 Implementing Classifiers Homework 11HW 11 (due August 7)	Reading 17.3, 17.4
Wed, Aug 05	Lecture 31 Evaluating Classifiers Discussion 12Residuals	Reading 17.5
Thu, Aug 06	Lecture 32 Bayes' Classification
Fri, Aug 07	Lecture 33 Text Classification Homework 12HW 12 (due August 11) Project 2Project 2 Checkpoint Due	Reading 17.6

Week 8

Mon, Aug 10	Lecture 34 Multiple Linear Regression Discussion 13Intervals for Predictions & kNN Classification Lab 13Lab 13 (Due August 12)
Tue, Aug 11	Lecture 35 Exploration Review
Wed, Aug 12	Lecture 36 Inference Review Project 2Project 2 Due
Thu, Aug 13	Lecture 37 Prediction Review
Fri, Aug 14	Exam Final Exam, 11am-2pm