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Practice and Application of Data Science

DSC 80, Spring 2024 at UC San Diego

Sam Lau
he/him

lau@ucsd.edu

Lecture(s): TuTh 9:30-10:50AM (A00), 11:00AM-12:20PM (B00) in Peterson Hall 103

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Welcome to DSC 80! 👋 Make sure to: read the syllabus, check that you can access Gradescope and Ed, fill out the Welcome Survey, and fill out the Exam Accommodations Form if you have an exam conflict.

Week 1 - From BabyPandas to Pandas

Tue Apr 2

LEC 1

Introduction, Data Science Lifecycle

Ch. 1

Thu Apr 4

LEC 2

DataFrame Fundamentals

Ch. 6, 6.1

Fri Apr 5

DISC 1

Environment Setup, Exam Prep 1

Week 2 – Dataframes

Tue Apr 9

LEC 3

Ch. 6.2

Wed Apr 10

LAB 1

Thu Apr 11

LEC 4

Simpson's Paradox, Joining, Transforming

Ch. 6.3-6.5

Fri Apr 12

DISC 2

Exam Prep 2

PROJ 1

Week 3 – Messy Data, Statistical Testing

Tue Apr 16

LEC 5

Exploring and Cleaning Data

Ch. 9 and 10

Wed Apr 17

LAB 2

Thu Apr 18

LEC 6

Hypothesis and Permutation Testing

Ch. 17

Fri Apr 19

PROJ 1

Project 1

DISC 3

Exam Prep 3

Week 4 – Missing Values

Tue Apr 23

LEC 7

Missingness Mechanisms

A1, A2

Wed Apr 24

LAB 3

DataFrame Manipulation

Thu Apr 25

LEC 8

Imputation

DSP 6.3-6.5

Fri Apr 26

PROJ 2

Project 2 checkpoint

DISC 4

Exam Prep 4

Week 5 – HTTP

Tue Apr 30

LEC 9

HTTP Basics

Ch. 14.2-14.4

Wed May 1

LAB 4

Hypothesis and Permutation Testing

Ch. 17

Thu May 2

EXAM

Midterm Exam (in class)

Fri May 3

PROJ 2

Project 2

DISC 5

Exam Prep 5

Week 6 – Web data

Mon May 6

LAB 5

Missing Values and Imputation

Tue May 7

LEC 10

Web Scraping

Ch. 14.2-14.4

Thu May 9

LEC 11

Regular Expressions

Ch. 13

Fri May 10

DISC 6

Exam Prep 6

PROJ 3

Project 3 checkpoint

Week 7 – Text data, Modeling

Tue May 14

LEC 12

Text Features

Ch. 13.4

Wed May 15

LAB 6

HTTP and HTML

Thu May 16

LEC 13

Linear Regression

Ch. 15.0-15.6

Fri May 17

PROJ 3

Project 3

DISC 7

Exam Prep 7

Week 8 – Feature Engineering

Tue May 21

LEC 14

Feature Engineering

Ch. 15.7-15.9

Wed May 22

LAB 7

Regular Expressions and Text Data

Thu May 23

LEC 15

Standardization, Multicollinearity, and Generalization

Ch. 16, 17.6

Fri May 24

DISC 8

Exam Prep 8

FINAL PROJ

Final Project Checkpoint 1

Week 9 – Modeling in Practice

Tue May 28

LEC 16

Hyperparameters, Cross-Validation, and Decision Trees

Ch. 16

Wed May 29

LAB 8

Modeling and Feature Engineering

Thu May 30

LEC 17

Decision Trees and Random Forests

Fri May 31

DISC 9

Exam Prep 9

FINAL PROJ

Final Project Checkpoint 2

Week 10 – Evaluating Classifiers

Tue Jun 4

LEC 18

Classifier Evaluation and Model Fairness

Ch. 19.5

Wed Jun 5

LAB 9

Pipelines

Thu Jun 6

LEC 19

Review, Conclusion

Fri Jun 7

DISC 10

Exam Prep 10

Week 11 – Final Exam and Project 5

Sat Jun 8

EXAM

Final Exam

Wed Jun 12

FINAL PROJ

Final Project