Data 8: Foundations of Data Science

UC Berkeley, Spring 2026

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Week 9

Mar 15
  1. Assignments Due
    • Lab 07 is due on Friday, March 20th @ 5 PM
    • Homework 07 is due on Wednesday, April 1st @ 11 AM
  2. Congratulations on completing the midterm!

Week 1

Wed, Jan 21
Discussion 1By the Numbers
Reading 1.1, 1.2, 1.3
Fri, Jan 23
Reading 2

Week 2

Mon, Jan 26
Lecture 3 Python
Reading 3
Wed, Jan 28
Lecture 4 Data Types
Reading 4, 5
Fri, Jan 30
Lecture 5 Tables
Reading 6.1, 6.2

Week 3

Week 4

Week 5

Mon, Feb 16
No Lecture
Wed, Feb 18
Reading 9, 9.1, 9.2
Fri, Feb 20
Lecture 13 Chance
Reading 9.2, 9.3, 9.4

Week 6

Mon, Feb 23
Lecture 14 Sampling
Discussion 6Chance & Models
Reading 9.5, 10, 10.1
Wed, Feb 25
Lecture 15 Models
Reading 10.2, 10.3, 10.4
Fri, Feb 27
Reading 11.1, 11.2

Week 7

Mon, Mar 02
Discussion 7Midterm Review
Reading 11.3, 11.4
Wed, Mar 04
Lecture 18 A/B Testing
Reading 11.4, 12.1
Fri, Mar 06
Lecture 19 Causality
Reading 12.2, 12.3

Week 8

Mon, Mar 09
Tue, Mar 10
Exam Midterm Exam, 8-10pm
Wed, Mar 11
No Lecture
Fri, Mar 13
Lecture 21Privacy

Week 9

Mon, Mar 16
Discussion 9The Bootstrap
Reading 13, 13.1, 13.2
Wed, Mar 18
Lecture 23Interpreting Confidence
Reading 13.3, 13.4
Fri, Mar 20
Lecture 24Center and Spread
Homework 7Confidence Intervals (Due 4/1)
Reading 14, 14.1, 14.2

Week 10

Mon, Mar 23
No Lecture
Wed, Mar 25
No Lecture
Fri, Mar 27
No Lecture

Week 11

Mon, Mar 30
Lecture 25The Normal Distribution
Discussion 10The Central Limit Theorem
Lab 8Normal Distribution and Variability of Sample Means (Due 4/3)
Reading 14.3, 14.4
Wed, Apr 01
Lecture 26Sample Means
Reading 14.5
Fri, Apr 03
Lecture 27Case Study: Elections
Homework 8Sample Sizes and Confidence Intervals (Due 4/8)
Project 2Climate (Checkpoint Due 4/10, Entire Project Due 4/17)
Reading 14.6

Week 12

Mon, Apr 06
Lecture 28Numerical Associations
Discussion 11Correlation & Regression
Reading 15.1
Wed, Apr 08
Lecture 29Linear Regression
Reading 15.2
Fri, Apr 10
Lecture 30Least Squares
Homework 9Linear Regression (Due 4/15)
Reading 15.3, 15.4

Week 13

Mon, Apr 13
Lecture 31Residuals
Discussion 12Residuals
Lab 9Regression (Due 4/17)
Reading 15.5
Wed, Apr 15
Lecture 32Regression Inference
Reading 16
Fri, Apr 17
Lecture 33Classification
Homework 10Regression Inference (Due 4/22)
Project 3Movie Classification (Checkpoint Due 4/24, Entire Project Due 5/1)
Reading 17.1, 17.2

Week 14

Mon, Apr 20
Lecture 34Implementing Classifiers
Discussion 13Intervals for Predictions & kNN Classification
Reading 17.3, 17.4
Wed, Apr 22
Lecture 35Evaluating Classifiers
Reading 17.5
Fri, Apr 24
Lecture 36Text Classification
Homework 11Classification (Due 4/29)
Reading 17.6

Week 15

Mon, Apr 27
Lecture 37Updating Probabilities
Discussion 14MLR & Bayes
Lab 10Conditional Probability (Due 5/1)
Reading 18, 18.1, 18.2
Wed, Apr 29
Lecture 38Case Study: Health
Fri, May 01
Lecture 39Conclusion
Homework 12Extra Credit (Due 5/6)

Week 16

Mon, May 04
RRR Week
Wed, May 06
RRR Week
Fri, May 08
RRR Week

Week 17

Mon, May 11
Tue, May 12
Exam Final Exam, 7-10pm

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