Data 100: Principles and Techniques of Data Science
UC Berkeley, Spring 2025
Ed Datahub Gradescope Lectures Playlist Additional Accommodations Office Hours Queue
Welcome to Week 5 of Data 100!
Lectures will be webcast at: https://berkeley.zoom.us/j/97347722542.
Schedule
Week 1
- Tue Jan 21
-
- Lecture 1 Introduction
- Note 1
- Lecture Participation 1 Lecture Participation 1
- Wed Jan 22
- Lab 1 Prerequisite Coding (due Tue Jan 28)
- Homework 1 Prerequisite Math, Coding, and Syllabus Quiz (due Thu Jan 30)
- Thu Jan 23
- Lecture Participation 2 Lecture Participation 2
Week 2
- Tue Jan 28
- Lecture Participation 3 Lecture Participation 3
-
- Discussion 1 Prerequisites
- Mini-Lecture, Solutions, Walkthrough
- Thu Jan 30
-
- Lecture 4 Pandas III
- Note 4
- Lecture Participation 4 Lecture Participation 4
- Lab 2A Pandas (due Tue Feb 4)
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- Exam Prep 1 Pandas
- Solutions, Walkthrough
- Fri Jan 31
- Homework 2A Food Safety (due Thu Feb 6)
- Drop Deadline (w/o fee) 11:59 PM
Week 3
- Tue Feb 4
-
- Lecture 5 Data Cleaning and EDA
- Note 5
- Lecture Participation 5 Lecture Participation 5
- Thu Feb 6
- Lecture Participation 6 Lecture Participation 6
- Lab 2B Data Cleaning and EDA (due Tue Feb 11)
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- Exam Prep 2 Pandas and EDA
- Solutions, Walkthrough
- Fri Feb 7
- Homework 2B Food Safety II (due Thu Feb 13)
- Add Deadline (w/o fee) 11:59 PM
Week 4
- Tue Feb 11
-
- Lecture 7 Visualization I
- Note 7
- Lecture Participation 7 Lecture Participation 7
-
- Discussion 3 Pandas II, EDA
- Mini-Lecture, Solutions, Walkthrough
- Wed Feb 12
- Drop Deadline (w/ fee) 11:59 PM
- Thu Feb 13
-
- Lecture 8 Visualization II
- Note 8
- Lecture Participation 8 Lecture Participation 8
- Lab 3 Regex, EDA (due Tue Feb 18)
-
- Exam Prep 3 RegEx
- Solutions, Walkthrough
- Fri Feb 14
- Homework 3 Text Analysis of New York Times Articles (due Thu Feb 20)
Week 5
- Tue Feb 18
- Lecture Participation 9 Lecture Participation 9
- Thu Feb 20
-
- Lecture 10 Modeling, SLR
- Note 10
- Lecture Participation 10 Lecture Participation 10
- Lab 4 Transformations (due Tue Feb 25)
-
- Exam Prep 4 Data Visualization
- Solutions, Walkthrough
- Fri Feb 21
- Homework 4 Bike Sharing (due Thu Feb 27)
- Add/Drop Deadline for Graduate Students 11:59 PM
Week 6
- Tue Feb 25
- Lecture 11 Constant Model, Loss, and Transformations
- Lecture Participation 11 Lecture Participation 11
- Discussion 5 Transformations, Sampling, and SLR
- Thu Feb 27
- Lecture 12 OLS (Multiple Regression)
- Lecture Participation 12 Lecture Participation 12
- Lab 5 Modeling, Summary Statistics, Loss Functions, and OLS (due Tue Mar 4)
- Fri Feb 28
- Homework 5 Modeling and OLS (due Thu Mar 6)
Week 7
- Tue Mar 4
- Lecture 13 Gradient Descent / Sklearn
- Lecture Participation 13 Lecture Participation 13
- Discussion 6 Models, OLS
- Thu Mar 6
- Lecture 14 Feature Engineering
- Lecture Participation 14 Lecture Participation 14
- NO Lab
- Fri Mar 7
- NO Homework
- Midterm Review
Week 8
- Tue Mar 11
- No Lecture
- Discussion 7 Gradient Descent
- Wed Mar 12
- Midterm Exam Midterm (8-10 PM)
- Thu Mar 13
- Lecture 15 Case Study (HCE): CCAO
- Lecture Participation 15 Lecture Participation 15
- Lab 6 Gradient Descent / Sklearn (due Tue Mar 18)
- Fri Mar 14
- Project A1 Housing I (due Thu Mar 20)
Week 9
- Tue Mar 18
- Lecture 16 Cross-Validation and Regularization
- Lecture Participation 16 Lecture Participation 16
- Discussion 8 Feature Engineering, Housing
- Thu Mar 20
- Lecture 17 Random Variables
- Lecture Participation 17 Lecture Participation 17
- Lab 7 Model Selection (due Tue Apr 1)
- Fri Mar 21
- Project A2 Housing II (due Thu Apr 3)
Week 10
- Mon Mar 24
- Spring Break
- Tue Mar 25
- Spring Break
- Wed Mar 26
- Spring Break
- Thu Mar 27
- Spring Break
- Fri Mar 28
- Spring Break
Week 11
- Tue Apr 1
- Lecture 18 Estimators, Bias, and Variance
- Lecture Participation 18 Lecture Participation 18
- Discussion 9 Cross-Validation and Regularization
- Thu Apr 3
- Lecture 19 Parameter Inference & the Bootstrap
- Lecture Participation 19 Lecture Participation 19
- Lab 8 Probability (due Tue Apr 8)
- Fri Apr 4
- Homework 6 Probability (due Thu Apr 10)
- Grade Option Change 11:59 PM
Week 12
- Tue Apr 8
- Lecture 20 SQL I
- Lecture Participation 20 Lecture Participation 20
- Discussion 10 RVs, Bias, and Variance
- Thu Apr 10
- Lecture 21 SQL II
- Lecture Participation 21 Lecture Participation 21
- Lab 9 SQL (due Tue Apr 15)
- Fri Apr 11
- Homework 7 SQL (due Thu Apr 17)
Week 13
- Tue Apr 15
- Lecture 22 Logistic Regression I
- Lecture Participation 22 Lecture Participation 22
- Discussion 11 SQL
- Thu Apr 17
- Lecture 23 Logistic Regression II
- Lecture Participation 23 Lecture Participation 23
- Lab 10 Logistic Regression (due Tue Apr 22)
- Fri Apr 18
- Project B1 Spam & Ham I (due Thu Apr 24)
Week 14
- Tue Apr 22
- Lecture 24 PCA I
- Lecture Participation 24 Lecture Participation 24
- Discussion 12 Logistic Regression
- Thu Apr 24
- Lecture 25 PCA II
- Lecture Participation 25 Lecture Participation 25
- Lab 11 PCA (due Tue Apr 29)
- Fri Apr 25
- Project B2 Spam & Ham II (due Thu May 1)
Week 15
- Tue Apr 29
- Lecture 26 Clustering
- Lecture Participation 26 Lecture Participation 26
- Discussion 13 PCA + Clustering
- Thu May 1
- Lecture 27 LLMs + Guest + Closing
- Lecture Participation 27 Lecture Participation 27
- Lab 12 Clustering (due Tue May 6)
Week 16
- Mon May 5
- RRR
- Tue May 6
- RRR
- Final Review TBD
- Wed May 7
- RRR
- Thu May 8
- RRR
- Fri May 9
- RRR
Week 17
- Fri May 16
- Final Exam Final (11:30-2:30 PM)