Data 100: Principles and Techniques of Data Science
UC Berkeley, Summer 2025
Ed Datahub Pensieve Additional Accommodations Office Hours Queue
Welcome to Week 7 of Data 100!
Lectures will be webcast at: https://berkeley.zoom.us/j/91772046015.
Schedule
Week 1
- Mon June 23
- Lecture 1 Introduction
- Lecture Participation 1 Slido
- Lab 1 Prerequisite Coding (due Thu 6/26)
- Homework 1 Prerequisite Math and Coding (due Fri 6/27)
- Tue June 24
- Lecture 2 Pandas I
- Lecture Participation 2 Slido
- Wed June 25
- Lecture 3 Pandas II
- Lecture Participation 3 Slido
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- Discussion 1 Prerequisites
- Solutions, Catch Up Session Notebook
- Thu June 26
- Lecture 4 Pandas III
- Lecture Participation 4 Slido
- Lab 2A Pandas (due Mon 6/30)
- Fri June 27
- Homework 2A Food Safety (due Wed 7/2)
Week 2
- Mon June 30
- Lecture 5 Data Cleaning & EDA
- Lecture Participation 5 Slido
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- Discussion 2 Pandas I
- Solutions, Catch Up Session Notebook, Notebook, Groupwork Notebook
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- Exam Prep 2 Pandas and EDA
- Solutions
- Lab 2B Data Cleaning & EDA (due Thu 7/3)
- Tue July 1
- Lecture 6 Regex
- Lecture Participation 6 Slido
- Homework 2B Food Safety II (due Mon 7/7)
- Wed July 2
- Lecture 7 Visualization I
- Lecture Participation 7 Slido
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- Discussion 3 Pandas II, EDA
- Solutions
- Thu July 3
- Lecture 8 Visualization II
- Lecture Participation 8 Slido
- Lab 3 Regex, EDA (due Mon 7/7)
- Fri July 4
- Holiday
- Homework 3 NYT Articles (due Wed 7/9)
Week 3
- Mon July 7
- Lecture 9 Sampling
- Lecture Participation 9 Slido
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- Discussion 4 Regex, Visualization, and Transformation
- Solutions, Notebook
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- Exam Prep 4 Data Visualization
- Solutions
- Lab 4 Transformations (due Thu 7/10)
- Tue July 8
- Lecture 10 Modeling, SLR
- Lecture Participation 10 Slido
- Homework 4 Bike Sharing (due Fri 7/11)
- Wed July 9
- Lecture 11 Constant model, loss, and transformations
- Lecture Participation 11 Slido
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- Discussion 5 Probability, Sampling, & Visualization
- Solutions
- Thu July 10
- Lecture 12 Ordinary Least Squares
- Lecture Participation 12 Slido
- Lab 5 Modeling, Summary Statistics, Loss Functions (due Mon 7/14)
- Fri July 11
- Homework 5 Modeling and OLS (due Mon 7/21)
Week 4
- Mon July 14
- Lecture 13 Gradient Descent, sklearn
- Lecture Participation 13 Slido
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- Discussion 6 Modeling and OLS
- Solutions
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- Exam Prep 6 OLS, Gradient Descent
- Solutions
- Lab 6 OLS (due Mon 7/21)
- Tue July 15
- Lecture 14 Feature Engineering
- Lecture Participation 14 Slido
- Project A1 Housing I (due Wed 7/23)
- Wed July 16
- Lecture 15 HCE Case Study: CCAO
- Lecture Participation 15 Slido
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- Discussion 7 Gradient Descent
- Solutions
- Thu July 17
- Midterm Exam See syllabus for midterm details.
- Fri July 18
- Midterm Exam
Week 5
- Mon July 21
- Lecture 16 Cross-Validation & Regularization
- Lecture Participation 16 Slido
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- Discussion 8 Cross-Validation & Regularization
- Solutions
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- Exam Prep 7 Cross Validation and Regularization
- Solutions
- Lab 7 Gradient Descent and Sklearn (due 7/24)
- Tue July 22
- Lecture 17 Random Variables
- Lecture Participation 17 Slido
- Project A2 Housing II (due Sun 7/27)
- Wed July 23
- Lecture 18 Estimators, Bias & Variance
- Lecture Participation 18 Slido
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- Discussion 9 Random Variables, Bias, Variance
- Solutions
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- Exam Prep 8 Probability and Bias-Variance
- Solutions
- Thu July 24
- Lecture 19 Parameter Inference & The Bootstrap
- Lecture Participation 19 Slido
- Lab 8 Model Selection, Regularization, and Cross-Validation (due Mon 7/28)
- Fri July 25
- Homework 6 Probability and Written (due Wed 7/30)
Week 6
- Mon July 28
- Lecture 20 SQL I
- Lecture Participation 20 Slido
- Lab 9 Random Variables and Inference & SQL (due Thu 7/31)
- Tue July 29
- Lecture 21 SQL II
- Homework 7 SQL (due Fri 8/1)
- Wed July 30
- Lecture 22 Logistic Regression I
- Lecture Participation 22 Slido
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- Discussion 11 Logistic Regression
- Solutions
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- Exam Prep 10 Logistic Regression
- Solutions
- Thu July 31
- Lecture 23 Logistic Regression II
- Lecture Participation 23 Slido
- Lab 10 Logistic Regression (due Mon 8/4)
- Fri Aug 1
- Project B1 Spam & Ham I (due Wed 8/6)
Week 7
- Mon Aug 4
- Lecture 24 Principal Component Analysis I
- Lecture Participation 24 Slido
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- Discussion 12 ROC Curves and Performance Metrics
- Solutions
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- Exam Prep 11 PCA and Clustering
- Solutions
- Lab 11 PCA (due Thu 8/7)
- Tue Aug 5
- Lecture 25 Principal Component Analysis II
- Lecture Participation 25 Slido
- Project B2 Spam & Ham II (due Mon 8/11)
- Wed Aug 6
- Lecture 26 Clustering
- Lecture Participation 26 Slido
- Discussion 13 Clustering
- Thu Aug 7
- Lecture 27 Closing
- Lecture Participation 27 Slido
- Lab 12 PCA & Clustering (due Mon 8/11)
Week 8
- Mon Aug 11
- Lecture 28 Review
- Tue Aug 12
- Lecture 29 Review
- Wed Aug 13
- Final See syllabus for final details.
- Thu Aug 14
- Final
- Fri Aug 15
- Final