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

Welcome to Week 10 of Data 100!

Lectures will be webcast on Zoom.

Schedule Jump to Current Week

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

Solutions, Walkthrough

Tue Oct 7

Lecture 12 Ordinary Least Squares

Note 12

Lecture Participation 12 Slido

Discussion 6 Modeling and OLS

Mini-Lecture, Solutions

Thu Oct 9

Lecture 13 Case Study HCE: CCAO

Note 13

Lecture Participation 13 Slido

Lab 6 OLS (due Fri 10/17)

Week 8

Tue Oct 14

Lecture 14 Gradient Descent

Note 14

Lecture Participation 14 Slido

Discussion 7 Midterm 1 Review

Solutions

Thu Oct 16

No Lecture

Midterm 1 See Syllabus for details

Lab 7 Gradient Descent / Sklearn (due Thu 10/23)

Project A1 Housing I (due Fri 10/24)

Week 9

Mon Oct 20

Exam Prep 5 OLS and Gradient Descent

Solutions, Walkthrough

Tue Oct 21

Lecture 15 Feature Engineering

Note 15

Lecture Participation 15 Slido

Discussion 8 Gradient Descent, Feature Engineering, and Housing

Mini-Lecture, Solutions

Thu Oct 23

Lecture 16 Cross-Validation, Regularization

Note 16 (Summer 2025)

Lecture Participation 16 Slido

Lab 8 Model Selection (due Wed 10/29)

Project A2 Housing II (due Fri 10/31)

Week 10

Mon Oct 27

Exam Prep 6 Feature Engineering, Cross Validation, and Regularization

Tue Oct 28

Lecture 17 Random Variables

Note 17 (Summer 2025)

Lecture Participation 17 Slido

Discussion 9 Cross-Validation, Regularization, and Random Variables

Mini-Lecture

Thu Oct 30

Lecture 18 Estimators, Bias, and Variance

Lecture Participation 18 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 19 Slido

Discussion 10 Bias and Variance

Thu Nov 6

Lecture 20 SQL I

Lecture Participation 20 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 21 Slido

Lab 11 Logistic Regression (due Mon 11/24)

Week 13

Tue Nov 18

Lecture 22 Logistic Regression I

Lecture Participation 22 Slido

Discussion 12 Midterm 2 Review

Thu Nov 20

No Lecture

Midterm 2 See Syllabus for details

Lab 12 PCA (due Wed 12/5)

Project B1 Spam & Ham I (due Tue 12/2)

Week 14

Tue Nov 25

Lecture 23 Logistic Regression II

Lecture Participation 23 Slido

Discussion 13 Logistic Regression

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 24 PCA and Clustering I

Lecture Participation 24 Slido

Discussion 14 PCA and Clustering

Thu Dec 4

Lecture 25 PCA and Clustering II

Lecture Participation 25 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)