Principles and Techniques of Data Science

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UC Berkeley, Fall 2021

Fernando Pérez

he/his

[email protected]

Office Hour(s): W/Th, 11am - 12pm

Alvin Wan

he/him/his

[email protected]

Office Hour(s): M/T, 11am - 12pm

Week 1

Aug 26

Lecture 1 Intro

Aug 27

Discussion 1 Intro (solutions)

Homework 1 Intro + Prerequisites (due Sept 2)

Lab 1 Prerequisite Coding (due Aug 31)

Week 2

Aug 30

N/A

Aug 31

Lecture 2 Data Sampling and Probability I

Live Lab

Sep 1

N/A

Sep 2

Lecture 3 Data Sampling and Probability II

Sep 3

Discussion 2 Probability (solutions)

Homework 2 Sampling Error and Bias (due Sept 10)

Lab 2 Pandas (due Sept 8)

Week 3

Sep 6

Labor Day

Sep 7

Lecture 4 Pandas I

Live Lab

Sep 8

N/A

Sep 9

Lecture 5 Pandas II

Sep 10

Discussion 3 Pandas (notebook) (pdf) (solutions)

Homework 3 Food Safety (due Sept 16)

Lab 3 Data Cleaning and Visualization (due Sept 14)

Week 4

Sep 13

N/A

Sep 14

Lecture 6 Data Cleaning and EDA

Live Lab

Sep 15

N/A

Sep 16

Lecture 7 Regex

Sep 17

Discussion 4 Data Cleaning and Regex (pdf) (notebook) (solutions)

Homework 4 Tweets (due Sept 23)

Lab 4 SQL (due Sept 23)

Week 5

Sep 20

N/A

Sep 21

Lecture 8 SQL I

Live Lab

Sep 22

N/A

Sep 23

Lecture 9 SQL II

Sep 24

Discussion 5 SQL (solutions)

Homework 5 SQL (due Oct 2)

Lab 5 Transformations and SQL (due Sept 28)

Week 6

Sep 27

N/A

Sep 28

Lecture 10 Visualization I

Live Lab

Sep 29

N/A

Sep 30

Lecture 11 Visualization II

Oct 1

Discussion 6 Visualization (solutions)

Homework 6 Bike Sharing (due Oct 7)

Lab 6 Modeling, Summary Statistics, and Loss Functions (due Oct 5)

Week 7

Oct 4

N/A

Oct 5

Lecture 12 Modeling

Live Lab

Oct 6

N/A

Oct 7

Lecture 13 Simple Linear Regression

Oct 8

Discussion 7 Modeling and Linear Regression (solutions)

Homework 7 Regression (on paper) (due Oct 14)

Lab 7 Simple Linear Regression (due Oct 12)

Week 8

Oct 11

N/A

Oct 12

Lecture 14 Ordinary Least Squares

Live Lab

Oct 13

N/A

Oct 14

Lecture 15 Modeling in Context: Fairness in Housing Appraisal

Oct 15

Discussion 8 Multiple Linear Regression and HCE (solutions)

Homework 8 Housing I (due Oct 21)

Lab 8 Multiple Linear Regression & Feature Engineering (due Oct 19)

Week 9

Oct 18

N/A

Oct 19

Lecture 16 Feature Engineering

Live Lab

Oct 20

N/A

Oct 21

Lecture 17 Bias and Variance

Oct 22

Discussion 9 Feature Engineering and Bias-Variance Tradeoff (notebook) (solutions)

Homework 9 Housing II (due Oct 28)

Lab 9 Content Review (optional, no due date)

Lab 10 Cross-Validation and Regularization (due Nov 4)

Week 10

Oct 25

N/A

Oct 26

Lecture 18 Regularization and Cross-Validation

Live Lab

Oct 27

N/A

Oct 28

Lecture 19 Guest Lecture: Physical Data and the Climate

Oct 29

Discussion 10 Regularization and Cross-Validation (solutions)

No Homework Midterm on 11/1

Lab 10 Cross-Validation and Regularization (due Nov 4)

Week 11

Nov 1

Midterm Midterm (7-9 pm)

Nov 2

Lecture 20 Gradient Descent

Live Lab

Nov 3

Final Project Project Part 1

Final Project Project Part 1 Spec

Nov 4

Lecture 21 Dimensionality Reduction & PCA

Nov 5

Final Project Project Group Form due

Discussion 11 Gradient Descent (solutions)

Homework 10 PCA (due Nov 12)

Lab 11 PCA (due Nov 9)

Week 12

Nov 8

Final Project Project Dataset Form due

Nov 9

Lecture 22 Logistic Regression I

Live Lab

Grad Project Research Proposal and Project Groups due

Nov 10

N/A

Nov 11

Veterans Day

Nov 12

Discussion 12 Logistic Regression I and PCA

Homework 11 Gradient Descent and Logistic Regression (due Nov 19)

Lab 12 Climate Data (due Nov 17)

Week 13

Nov 15

N/A

Nov 16

Lecture 23 Logistic Regression II and Classification

Live Lab

Nov 17

Final Project Design Document Due

Nov 18

Lecture 24 Decision Trees

Nov 19

Final Project Design Document Review

Discussion 13 Decision Trees (walkthrough video)

Homework 12 Spam & Ham I (due Nov 29)

Lab 13 Logistic Regression (due Nov 23)

Week 14

Nov 22

Grad Project Project Checkpoint

Nov 23

Final Project Alternate Design Document Review

Lecture 25 Inference for Modeling

Live Lab

Final Project Project Part 2

Final Project Project Part 2 Spec

Nov 24

N/A (Thanksgiving)

Nov 25

N/A (Thanksgiving)

Nov 26

No Discussion (Thanksgiving)

Nov 27

Lab 14 Decision Trees & Random Forests (due Dec 2)

Week 15

Nov 29

Homework 13 Spam & Ham II (due Dec 5)

Nov 30

Lecture 26 Clustering

Live Lab

Dec 1

Grad Project First Report Draft due

Dec 2

Lecture 27 Guest Lecture: The Social Cost of Carbon

Grad Project Peer Grading starts

Dec 3

Discussion 14 Decision Trees, Inference, & Clustering

Homework 14 (optional) Taxis (due Dec 12)

Lab 15 (optional) Clustering (due Dec 7)

Week 16

Dec 6

Grad Project Peer Grading due

Dec 7

Review

Dec 9

Review

Week 17

Dec 13

Final Project Final Project due

Grad Project Revised Report due

Dec 15

Grad Project Project Video due

Final Project Part 2 Peer Evaluations