Data 8: Foundations of Data Science

UC Berkeley, Summer 2026

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Week 3

Jul 10

Welcome to Week 3 of Data 8!

1. Assignments Due
   • Project 1 checkpoint is due on Monday, July 6 @ 11:59 PM
     • Final submission is due on Monday, July 13 @ 11:59 PM
   • Homework 04 is due on Tuesday, July 7 @ 11:59 PM
   • Lab 05 is due on Friday, July 10 @ 11:59 PM
   • Homework 05 is due on Friday, July 10 @ 11:59 PM
   • Homework 06 is due on Tuesday, July 14 @ 11:59 PM
2. Project 1 Parties are taking place on Friday, July 10! More information in this Ed post.
3. Tutoring sections are live! More information in this Ed post.

Week 2

Jul 10

Welcome to week 2 of Data 8! Hope it’s going data gr8 :D

1. Assignments Due
   • Homework 02 is due on Tuesday, June 30 @ 11:59 PM
   • Lab 03 is due on Wednesday, July 1 @ 11:59 PM
   • Lab 04 is due on Friday, July 3 @ 11:59 PM
   • Homework 03 is due on Friday, July 3 @ 11:59 PM
   • Project 1 checkpoint is due on Monday, July 6 @ 11:59 PM
     • Final submission is due on Monday, July 13 @ 11:59 PM
   • Homework 04 is due on Tuesday, July 7 @ 11:59 PM
2. Lab sections start this week! More information in this Ed post.
3. Tutoring sections are now live! More information in this Ed post.

Week 1

Jul 10

Hello world, and welcome to Data 8! :D

1. Assignments Due
   • Lab 01 is due on Wednesday, June 24 @ 11:59 PM
   • Lab 02 is due on Friday, June 26 @ 11:59 PM
   • Homework 01 is due on Friday, June 26 @ 11:59 PM
   • Homework 02 is due on Tuesday, June 30 @ 11:59 PM
2. Lab Assignments
   • Fill out the Pre-Semester Form by Wednesday, June 24 @ 11:59 PM
   • More information in this Ed post

Week 1

Mon, Jun 22	Lecture 1 Introduction Discussion 1[No section] By the Numbers Lab 1Introduction (due June 24)	Reading 1.1, 1.2, 1.3
Tue, Jun 23	Lecture 2 Cause and Effect Homework 1Causality and Expressions (due June 26)	Reading 2
Wed, Jun 24	Lecture 3 Python Discussion 2[No section] Intro to Tables & Causation Lab 2Table Operations (due June 26)	Reading 3
Thu, Jun 25	Lecture 4 Data Types	Reading 4, 5
Fri, Jun 26	Lecture 5 Tables Homework 2Arrays and Tables (due June 30)	Reading 6.1, 6.2

Week 2

Mon, Jun 29	Lecture 6 Data Visualizations Discussion 3Visualizations, Data Types, Extending Tables Lab 3Data Types and Arrays (due July 1) Project 1Project 1 Released	Reading 7, 7.1
Tue, Jun 30	Lecture 7 Histograms Homework 3Table Manipulation and Visualization (due July 3)	Reading 7.2, 7.3
Wed, Jul 01	Lecture 8 Functions Discussion 4More Visualizations, Intro to Functions Lab 4Functions and Visualizations (due July 3)	Reading 8, 8.1
Thu, Jul 02	Lecture 9 Case Study: Census Homework 4Functions, Tables, and Groups (due July 7)	Reading 6.3, 6.4
Fri, Jul 03	Holiday: No Lecture

Week 3

Mon, Jul 06	Lecture 10 Groups, Pivots, and Joins Discussion 5Table Methods, Conditionals & Iteration Project 1Project 1 Checkpoint Due	Reading 8.2, 8.3, 8.4
Tue, Jul 07	Lecture 11 Conditionals and Iteration Homework 5Chance, Empirical Probability Distribution (due July 10)	Reading 9, 9.1, 9.2
Wed, Jul 08	Lecture 12 Probability and Simulation Discussion 6Chance & Models Lab 5Simulations (due July 10)	Reading 9.3, 9.4, 9.5
Thu, Jul 09	Lecture 13 Sampling and Empirical Distributions	Reading 10, 10.1
Fri, Jul 10	Lecture 14 Hypothesis Testing Homework 6Assessing Models and Testing Hypotheses (due July 14)	Reading 10.2, 10.3, 10.4

Week 4

Mon, Jul 13	Lecture 15 Decisions and Uncertainty Discussion 7Midterm Review Project 1Project 1 Due	Reading 11.3, 11.4
Tue, Jul 14	Lecture 16 A/B Testing	Reading 11.4, 12.1
Wed, Jul 15	Lecture 17 Causality Discussion 8[No Section] More Midterm Review Lab 6Examining the Therapeutic Touch (due July 17)	Reading 12.2, 12.3
Thu, Jul 16
Fri, Jul 17	Exam Midterm Exam, 11am-1pm Lecture 18 Confidence Intervals	Reading 13, 13.1, 13.2

Week 5

Mon, Jul 20	Lecture 19 Interpreting Confidence Discussion 9The Bootstrap Lab 7Great British Bakeoff—A/B Testing (due July 22)	Reading 13.3, 13.4
Tue, Jul 21	Lecture 20 Center and Spread Homework 7Confidence Intervals (due July 24)	Reading 14, 14.1, 14.2
Wed, Jul 22	Lecture 21 The Normal Distribution Discussion 10The Central Limit Theorem Lab 8Normal Distribution and Variability of Sample Means (Due July 24)	Reading 14.3, 14.4
Thu, Jul 23	Lecture 22 Variance of Sample Means	Reading 14.5
Fri, Jul 24	Lecture 23 Correlation Homework 8Sample Sizes and Confidence Intervals (due July 28)	Reading 15.1

Week 6

Mon, Jul 27	Lecture 24 Linear Regression Discussion 11Correlation & Regression Lab 9Regression (Due July 29)	Reading 15.2
Tue, Jul 28	Lecture 25 Least Squares Homework 9Linear Regression (due July 31)	Reading 15.3, 15.4
Wed, Jul 29	Lecture 26 Residuals and Diagnostics Discussion 12Residuals Lab 10Climate Part 1 (Due July 31)	Reading 15.5
Thu, Jul 30	Lecture 27 Regression Inference	Reading 16
Fri, Jul 31	Lecture 28 Classification Homework 10Regression Inference (due August 4)	Reading 17.1, 17.2

Week 7

Mon, Aug 03	Lecture 29 Implementing Classifiers Discussion 13Intervals for Predictions & kNN Classification Lab 11Climate Part 2 (Due August 5) Project 2Project 2 Released	Reading 17.3, 17.4
Tue, Aug 04	Lecture 30 Evaluating Classifiers Homework 11Classification (due August 7)	Reading 17.5
Wed, Aug 05	Lecture 31 Bayes' Classification Discussion 14Bayes Lab 12Conditional Probability (Due August 7)
Thu, Aug 06	Lecture 32 Text Classification	Reading 17.6
Fri, Aug 07	Lecture 33 Multiple Linear Regression Homework 12Extra Credit (due August 11) Project 2Project 2 Checkpoint Due

Week 8

Mon, Aug 10	Lecture 34 Exploration Review
Tue, Aug 11	Lecture 35 Inference Review
Wed, Aug 12	Lecture 36 Prediction Review Project 2Project 2 Due
Thu, Aug 13
Fri, Aug 14	Exam Final Exam, 11am-2pm