Data 100: Principles and Techniques of Data Science

UC Berkeley, Fall 2025

Datahub Pensieve Ed Office Hours Queue Lectures Playlist

Josh GrossmanHe/Him/His

jdgg AT berkeley DOT edu

data100.instructors@berkeley.edu

MIDTERM 1 TIME CHANGE!!!

Please read through this Ed post in its entirety!

Welcome to Week 7 of Data 100!

Lectures will be webcast on Zoom.

Schedule

Week 1

Thu Aug 28

Lecture 1 Introduction: Note 1

Lecture Participation 1 Slido

Lab 1 Prerequisite Coding (due Wed 9/3)

Homework 1 Prerequisite Math and Coding (due Thu 9/4)

Week 2

Tue Sep 2

Lecture 2 Pandas I: Note 2

Lecture Participation 2 Slido

Discussion 1 Prerequisites: Mini-Lecture, Solutions

Thu Sep 4

Lecture 3 Pandas II: Note 3

Lecture Participation 3 Slido

Lab 2A Pandas (due Wed 9/10)

Homework 2A Food Safety (due Thu 9/11)

Fri Sep 5

Drop Deadline (without fee) 11:59 PM

Week 3

Tue Sep 9

Lecture 4 Pandas III: Note 4

Lecture Participation 4 Slido

Discussion 2 Pandas I: Mini-Lecture, Notebook, Groupwork Notebook, Solutions, Notebook Solutions, Groupwork Notebook Solutions

Thu Sep 11

Lecture 5 Data Cleaning and EDA: Note 5

Lecture Participation 5Slido

Lab 2B Data Cleaning and EDA (due Wed 9/17)

Homework 2B Food Safety II (due Thu 9/18)

Fri Sep 12

Add Deadline (without fee) 11:59 PM

Week 4

Mon Sep 15

Exam Prep 1 Pandas: Solutions, Walkthrough

Tue Sep 16

Lecture 6 Regex: Note 6

Lecture Participation 6 Slido

Discussion 3 Pandas II, EDA: Mini-Lecture, Monopoly Demo Notebook, Solutions

Wed Sep 17

Drop Deadline (with fee) 11:59 PM

Thu Sep 18

Lecture 7 Visualization I: Note 7

Lecture Participation 7 Slido

Lab 3 Regex, EDA (due Wed 9/24)

Homework 3 Text Analysis of New York Times Articles (due Thu 9/25)

Week 5

Mon Sep 22

Exam Prep 2 EDA and Regex: Solutions, Walkthrough

Tue Sep 23

Lecture 8 Visualization II: Note 8

Lecture Participation 8 Slido

Discussion 4 Regex, Visualization, and KDE: Mini-Lecture, Bigfoot Demo Notebook, Solutions

Thu Sep 25

Lecture 9 Sampling: Note 9

Lecture Participation 9 Slido

Lab 4 Transformations (due Wed 10/1)

Homework 4 Bike Sharing (due Thu 10/2)

Fri Sep 26

Add/Drop Deadline for Graduate Students 11:59 PM

Week 6

Mon Sep 29

Exam Prep 3 Visualization: Solutions, Walkthrough

Tue Sep 30

Lecture 10 Modeling, SLR: Note 10

Lecture Participation 10 Slido

Discussion 5 Transformations, Sampling, and SLR: Mini-Lecture, Solutions

Thu Oct 2

Lecture 11 Constant Model, Loss, Transformations: Note 11

Lecture Participation 11 Slido

Lab 5 Modeling, Summary Statistics, and Loss Functions (due Wed 10/8)

Homework 5 Modeling and OLS (due Mon 10/13)

Week 7

Mon Oct 6

Exam Prep 4 Modeling and Midterm Prep

Tue Oct 7

Lecture 12 Ordinary Least Squares: Note 12 (Summer 2025)

Lecture Participation 12 Slido

Discussion 6 Modeling and OLS: Mini-Lecture

Thu Oct 9

Lecture 13 Case Study HCE: CCAO

Lab 6 OLS (due Wed 10/15)

Week 8

Tue Oct 14: Lecture 14 Gradient Descent; Lecture Participation 14 Slido; Discussion 7 OLS, Gradient Descent
Thu Oct 16: No Lecture; Lab 7 Gradient Descent / Sklearn (due Wed 10/22); Project A1 Housing I (due Fri 10/24); Midterm 1 See Syllabus for details

Week 9

Tue Oct 21: Lecture 15 Feature Engineering; Lecture Participation 16 Slido; Discussion 8 Feature Engineering, Housing
Thu Oct 23: Lecture 16 Cross-Validation, Regularization; Lecture Participation 17 Slido; Lab 8 Model Selection (due Wed 10/29); Project A2 Housing II (due Fri 10/31)

Week 10

Tue Oct 28: Lecture 17 Random Variables; Lecture Participation 18 Slido; Discussion 9 Cross-Validation and Regularization
Thu Oct 30: Lecture 18 Estimators, Bias, and Variance; Lecture Participation 19 Slido; Lab 9 Probability (due Wed 11/5); Homework 6 Probability (due Fri 11/7)
Fri Oct 31: Grade Option Change 11:59 PM

Week 11

Tue Nov 4: Lecture 19 Parameter Inference & Bootstrap; Lecture Participation 20 Slido; Discussion 10 RVs, Bias, and Variance
Thu Nov 6: Lecture 20 SQL I; Lecture Participation 21 Slido; Lab 10 SQL (due Fri 11/14); Homework 7 SQL (due Mon 11/17)

Week 12

Tue Nov 11: Holiday Veterans Day; No Lecture
Wed Nov 12: Discussion 11 SQL
Thu Nov 13: Lecture 21 SQL II; Lecture Participation 22 Slido; Lab 11 Logistic Regression (due Mon 11/24)

Week 13

Tue Nov 18: Lecture 22 Logistic Regression I; Lecture Participation 23 Slido; Discussion 12 Logistic Regression
Wed Nov 19: Midterm 2 See Syllabus for details
Thu Nov 20: Lecture 23 Logistic Regression II; Lecture Participation 24 Slido; Lab 12 PCA (due Wed 12/3); Project B1 Spam & Ham I (due Tue 12/2); Midterm 2 See Syllabus for details
Fri Nov 21: Midterm 2 See Syllabus for details

Week 14

Tue Nov 25: Lecture 24 PCA and Clustering I; Lecture Participation 25 Slido; Discussion 13 PCA + Clustering I
Thu Nov 27: Holiday Thanksgiving; No Lecture

Week 15

Mon Dec 1: Project B2 Spam & Ham II (due Tue 12/9)
Tue Dec 2: Lecture 25 PCA and Clustering II; Lecture Participation 26 Slido; Discussion 14 PCA + Clustering II
Thu Dec 4: Lecture 26 Guest Lecture; Lecture Participation 27 Slido; Lab 13 Clustering (due Wed 12/10)

Week 16

Tue Dec 9: Final Review
Thu Dec 11: Final Review

Week 17

Wed Dec 17: Final Exam Final (8:00 AM - 11:00 AM)