Data 100: Principles and Techniques of Data Science

UC Berkeley, Spring 2024

Ed Datahub Gradescope Lectures Playlist Extenuating Circumstances Office Hours Queue

Joseph E. Gonzalez

Joseph E. Gonzalez

He/Him/His

jegonzal@cs.berkeley.edu

Office Hours: Tuesdays from 3:00PM to 4:30PM in Soda 773 (Starting Jan 23rd)

Narges Norouzi

Narges Norouzi

She/Her/Hers

norouzi@berkeley.edu

Office Hours: Mondays 10:00AM - 11:00AM in Soda 775
Thursdays from 1:00 to 2:30PM in Warren Hall (Room 101-BC)

Welcome to Week 16 of Data 100!

Lectures will be webcast at: https://berkeley.zoom.us/j/91646148607.

Schedule

Week 1

Jan 16
Lecture 1 Introduction
Note 1
Lecture Participation 1 Lecture Participation 1
Jan 18
Lecture 2 Pandas I
Note 2
Lecture Participation 2 Lecture Participation 2
Jan 19
Lab 1 Prerequisite Coding (due Jan 23)
Homework 1A Plotting and Permutation Test (due Jan 25)
Homework 1B Prerequisite Math (due Jan 25)

Week 2

Jan 23
Lecture 3 Pandas II
Note 3
Lecture Participation 3 Lecture Participation 3
Discussion 1 Prerequisites
Solution, Video
Jan 25
Lecture 4 Pandas III
Note 4
Lecture Participation 4 Lecture Participation 4
Jan 26
Lab 2A Pandas (due Jan 30)
Homework 2A Food Safety (due Feb 1)

Week 3

Jan 30
Lecture 5 Data Wrangling and EDA (Part 1)
Note 5
Lecture Participation 5 Lecture Participation 5
Discussion 2 Pandas I, Worksheet Notebook, Groupwork Notebook
Worksheet Solution, Video Groupwork Solution, Video
Feb 1
Lecture 6 Data Wrangling and EDA (Part 2) & Text Wrangling and Regex
Note 6
Lecture Participation 6 Lecture Participation 6
Exam Prep 1 Pandas
Solution, Video
Feb 2
Lab 2B Data Cleaning and EDA (due Feb 6)
Homework 2B Food Safety II (due Feb 8)

Week 4

Feb 6
Lecture 7 Visualization I
Note 7
Lecture Participation 7 Lecture Participation 7
Discussion 3 Pandas II, EDA, Regex
Solution, Video
Feb 8
Lecture 8 Visualization II
Note 8
Lecture Participation 8 Lecture Participation 8
Exam Prep 2 Pandas II, RegEx
Solution, Video
Feb 9
Lab 3 Regex, EDA (due Feb 13)
Homework 3 Text Analysis of Bloomberg Articles (due Feb 15)

Week 5

Feb 13
Lecture 9 Sampling
Note 9
Lecture Participation 9 Lecture Participation 9
Discussion 4 Visualization and Transformation, Worksheet Notebook

Worksheet Solution, Notebook Solution, Video

Feb 15
Lecture 10 Modeling, SLR
Note 10
Lecture Participation 10 Lecture Participation 10
Exam Prep 3 Visualization
Solution, Video
Feb 16
Lab 4 Transformations (due Feb 20)
Homework 4 Bike Sharing (due Feb 22)

Week 6

Week 7

Feb 27
Lecture 13 Gradient descent / sklearn
Note 13
Lecture Participation 13 Lecture Participation 13
Discussion 6 Constant Models, OLS, and Multiple Linear Regression
Solution, Video
Feb 29
Lecture 14 Feature Engineering
Note 14
Lecture Participation 14 Lecture Participation 14
Exam Prep 5 OLS
Solution, Video
Mar 1
Lab 6 OLS (due Mar 5)

Week 8

Mar 5
Lecture 15 Case Study (HCE): CCAO
Note 15
Lecture Participation 15 Lecture Participation 15
Discussion 7 Midterm Review
Solution
Mar 7
No Lecture

Midterm Exam Midterm (7-9 PM PST)

Mar 8
Lab 7 Gradient descent and Sklearn (due Mar 12)
Project A1 Housing I (due Mar 14)

Week 9

Mar 12
Lecture 16 Cross-Validation and Regularization
Note 16
Lecture Participation 16 Lecture Participation 16
Discussion 8 Gradient descent, Feature Engineering, Housing
Solution, Video
Mar 14
Lecture 17 Random Variables
Note 17
Lecture Participation 17 Lecture Participation 17
Exam Prep 6 Gradient Descent
Solution , Video
Mar 15
Lab 8 Model Selection, Regularization, and Cross-Validation (due Mar 19)
Project A2 Housing II (due Mar 21)

Week 10

Mar 19
Lecture 18 Estimators, Bias, and Variance
Note 18
Lecture Participation 18 Lecture Participation 18
Discussion 9 Cross-Validation and Regularization
Solution, Video
Mar 21
Lecture 19 Parameter Inference and the Bootstrap
Note 19
Lecture Participation 19 Lecture Participation 19
Exam Prep 7 Cross Validation and Regularization
Solution , Video
Mar 22
Lab 9 Probability (due Apr 2)
Homework 6 Probability (due Apr 4)

Week 11

Mar 25
Spring Break
Mar 26
Spring Break
Mar 27
Spring Break
Mar 28
Spring Break
Mar 29
Spring Break

Week 12

Apr 2
Lecture 20 SQL I
Note 20
Lecture Participation 20 Lecture Participation 20
Discussion 10 RVs, Bias, and Variance
Solution, Video
Apr 4
Lecture 21 SQL II
Note 21
Lecture Participation 21 Lecture Participation 21
Exam Prep 8 Probability and Bias-Variance
Solution , Video
Apr 5
Lab 10 SQL (due Apr 9)
Homework 7 SQL (due Apr 11)

Week 13

Apr 9
Lecture 22 Logistic Regression I
Note 22
Lecture Participation 22 Lecture Participation 22
Discussion 11 SQL, Discussion Notebook
Worksheet Solution, Notebook Solution, Video
Apr 11
Lecture 23 Logistic Regression II
Note 23
Lecture Participation 23 Lecture Participation 23
Exam Prep 9 SQL
Solution , Video
Apr 12
Lab 11 Logistic Regression (due Apr 16)
Project B1 Spam & Ham I (due Apr 18)

Week 14

Apr 16
Lecture 24 PCA I
Lecture Participation 24 Lecture Participation 24
Note 24
Discussion 12 Logistic Regression
Solution, Video
Apr 18
Lecture 25 PCA II
Note 25
Lecture Participation 25 Lecture Participation 25
Exam Prep 10 Logistic Regression
Solution , Video
Apr 19
Lab 12 PCA (due Apr 23)
Project B2 Spam & Ham II (due Apr 25)

Week 15

Apr 23
Lecture 26 Clustering
Note 26
Lecture Participation 26 Lecture Participation 26
Discussion 13 PCA
Solution
Apr 25
Lecture 27 Intro to LLMs and Conclusion
Lecture Participation 27 Lecture Participation 27
Exam Prep 11 PCA and Clustering
Solution , Video
Apr 26
Lab 13 Clustering (due Apr 30)

Week 16

Apr 29
RRR
Apr 30
RRR
May 1
RRR
May 2
RRR
May 3
RRR

Week 17

May 9
Final Exam Final (8-11 AM PST)