Principles and Techniques of Data Science

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UC Berkeley, Fall 2021

Fernando Pérez

Fernando Pérez
he/his

fernando.perez@berkeley.edu

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

Alvin Wan

Alvin Wan
he/him/his

alvinwan@berkeley.edu

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