Data 8: Foundations of Data Science
UC Berkeley, Spring 2026
Office Hours Queue Jump to Current Week
Week 1
| Mon, Jun 22 | Lecture 1
Introduction
Lab 1Lab 1 (due June 24) |
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| Tue, Jun 23 | Lecture 2
Cause and Effect
Homework 1HW 1 (due June 26) |
Reading
2
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| Wed, Jun 24 | Lecture 3
Python
Lab 2Lab 2 (due June 26) |
Reading
3
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| Thu, Jun 25 | Lecture 4
Data Types
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| Fri, Jun 26 | Lecture 5
Tables
Homework 2HW 2 (due June 30) |
Week 2
| Mon, Jun 29 | Lecture 6
Case Study: Census
Discussion 1By the Numbers Lab 3Lab 3 (due July 1)
Project 1Project 1 Released |
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| Tue, Jun 30 | Lecture 7
Data Visualizations
Homework 3HW 3 (due July 3) |
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| Wed, Jul 01 | Lecture 8
Histograms
Discussion 2Intro to Tables & Causation Lab 4Lab 4 (due July 3) |
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| Thu, Jul 02 | Lecture 9
Functions
Homework 4HW 4 (due July 7) |
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| 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 |
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| Tue, Jul 07 | Lecture 11
Conditionals
Homework 5HW 5 (due July 10) |
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| Wed, Jul 08 | Lecture 12
Iteration
Discussion 4More Visualizations, Intro to Functions Lab 6Lab 6 (due July 10) |
Reading
9.2
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| Thu, Jul 09 | Lecture 13
Probability and Simulation
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| Fri, Jul 10 | Lecture 14
Sampling and Empirical Distributions
Homework 6HW 6 (due July 14) |
Week 4
| Mon, Jul 13 | Lecture 15
Hypothesis Testing
Discussion 5Table Methods, Conditionals & Iteration Lab 7Lab 7 (due July 15)
Project 1Project 1 Due |
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| Tue, Jul 14 | Lecture 16
Decisions and Uncertainty
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| Wed, Jul 15 | Lecture 17
A/B Testing
Discussion 6Chance & Models |
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| Thu, Jul 16 | Lecture 18
Causality
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| Fri, Jul 17 |
Exam
Midterm Exam, 11am-1pm
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Week 5
| Mon, Jul 20 | Lecture 19
Confidence Intervals
Discussion 7Midterm Review Lab 8Lab 8 (Due July 22) |
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| Tue, Jul 21 | Lecture 20
Interpreting Confidence
Homework 7HW 7 (due July 24) |
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| Wed, Jul 22 | Lecture 21
Center and Spread
Discussion 8More Midterm Review Lab 9Lab 9 (Due July 24) |
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| Thu, Jul 23 | Lecture 22
The Normal Distribution
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| Fri, Jul 24 | Lecture 23
Variance of Sample Means
Homework 8HW 8 (due July 28) |
Reading
14.5
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Week 6
| Mon, Jul 27 | Lecture 24
Correlation
Discussion 9The Bootstrap Lab 10Lab 10 (Due July 29) |
Reading
15.1
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| Tue, Jul 28 | Lecture 25
Linear Regression
Homework 9HW 9 (due July 31) |
Reading
15.2
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| Wed, Jul 29 | Lecture 26
Least Squares
Discussion 10The Central Limit Theorem Lab 11Lab 11 (Due July 31) |
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| Thu, Jul 30 | Lecture 27
Residuals and Diagnostics
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Reading
15.5
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| Fri, Jul 31 | Lecture 28
Regression Inference
Homework 10HW 10 (due August 4) |
Reading
16
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Week 7
| Mon, Aug 03 | Lecture 29
Classification
Discussion 11Correlation & Regression Lab 12Lab 12 (Due August 5)
Project 2Project 2 Released |
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| Tue, Aug 04 | Lecture 30
Implementing Classifiers
Homework 11HW 11 (due August 7) |
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| Wed, Aug 05 | Lecture 31
Evaluating Classifiers
Discussion 12Residuals |
Reading
17.5
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| Thu, Aug 06 | Lecture 32
Bayes' Classification
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| Fri, Aug 07 | Lecture 33
Text Classification
Homework 12HW 12 (due August 11)
Project 2Project 2 Checkpoint Due |
Reading
17.6
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Week 8
| Mon, Aug 10 | Lecture 34
Multiple Linear Regression
Discussion 13Intervals for Predictions & kNN Classification Lab 13Lab 13 (Due August 12) |
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| Tue, Aug 11 | Lecture 35
Exploration Review
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| Wed, Aug 12 | Lecture 36
Inference Review
Project 2Project 2 Due |
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| Thu, Aug 13 | Lecture 37
Prediction Review
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| Fri, Aug 14 |
Exam
Final Exam, 11am-2pm
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