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DSC 80

Practice and Application of Data Science

DSC 80, Winter 2026 at UC San Diego

Janine Tiefenbruck
she/her

jlobue@ucsd.edu

Lecture: (A) TuTh 9:30-10:50AM, (B) TuTh 11AM-12:20PM in PODEM 1A18

Discussion: (A) W 1-1:50PM, (B) W 2-2:50PM in CSB 002

Jump to the current week Podcasts Welcome Survey

Welcome to DSC 80! 👋 Make sure to read the syllabus, check that you can access Gradescope and Campuswire, and fill out the Welcome Survey.

Week 1 – From BabyPandas to Pandas

Tue Jan 6

LEC 1

Introduction, Data Science Lifecycle

Ch. 1

Wed Jan 7

DISC 1

Environment Setup

Thu Jan 8

LEC 2

DataFrame Fundamentals

Ch. 6, 6.1

Week 2 – DataFrames

Mon Jan 12

LAB 1

Python, NumPy, and Pandas

Tue Jan 13

LEC 3

Aggregating

Ch. 6.2

Wed Jan 14

DISC 2

Lab 1 Reflection

Thu Jan 15

LEC 4

Simpson's Paradox, Joining, Transforming

Ch. 6.3-6.5

Fri Jan 16

PROJ 1

Project 1 Checkpoint

Week 3 – Messy Data, Statistical Testing

Mon Jan 19

LAB 2

DataFrames and Grouping

Tue Jan 20

LEC 5

Exploring and Cleaning Data

Ch. 9 and 10

Wed Jan 21

DISC 3

Lab 2 Reflection

Thu Jan 22

LEC 6

Hypothesis and Permutation Testing

Ch. 17

Fri Jan 23

PROJ 1

Project 1

Week 4 – Missing Values

Mon Jan 26

LAB 3

Merging and Pivoting

Tue Jan 27

LEC 7

Missingness Mechanisms

A1, A2

Wed Jan 28

DISC 4

Lab 3 Reflection

Thu Jan 29

LEC 8

Imputation

DSP 6.3-6.5

Fri Jan 30

PROJ 2

Project 2 Checkpoint

Week 5 – HTTP and HTML

Mon Feb 2

LAB 4

Hypothesis and Permutation Testing

Ch. 17

Tue Feb 3

LEC 9

HTTP Basics

Ch. 14.2-14.4

Wed Feb 4

DISC 5

Lab 4 Reflection

Thu Feb 5

LEC 10

Web Scraping

Ch. 14.2-14.4

Fri Feb 6

PROJ 2

Project 2

Week 6 – Midterm, Regular Expressions

Sun Feb 8

LAB 5

Missing Values and Imputation

Tue Feb 10

EXAM

Midterm Exam

Wed Feb 11

DISC 6

Midterm Exam Solutions Review

Thu Feb 12

LEC 11

Regular Expressions

Ch. 13

Fri Feb 13

PROJ 3

Project 3 Checkpoint

Week 7 – Text and Modeling

Mon Feb 16

LAB 6

APIs and Web Scraping

Tue Feb 17

LEC 12

Text Features

Ch. 13.4

Wed Feb 18

DISC 7

Lab 6 Reflection

Thu Feb 19

LEC 13

Linear Regression

Ch. 15.0-15.6

Fri Feb 20

PROJ 3

Project 3

Week 8 – Feature Engineering

Mon Feb 23

LAB 7

Regular Expressions

Ch. 13

Tue Feb 24

LEC 14

Feature Engineering

Ch. 15.7-15.9

Wed Feb 25

DISC 8

Lab 7 Reflection

Thu Feb 26

LEC 15

Standardization, Multicollinearity, and Generalization

Ch. 16, 17.6

Fri Feb 27

PROJ 4

Project 4 Checkpoint 1

Week 9 – Modeling in Practice

Mon Mar 2

LAB 8

Feature Engineering

Ch. 15.7-15.9

Tue Mar 3

LEC 16

Hyperparameters, Cross-Validation, and Decision Trees

Ch. 16

Wed Mar 4

DISC 9

Lab 8 Reflection

Thu Mar 5

LEC 17

Decision Trees and Random Forests

A1

Fri Mar 6

PROJ 4

Project 4 Checkpoint 2

Week 10 – Evaluating Classifiers

Mon Mar 9

LAB 9

Models and Pipelines

Tue Mar 10

LEC 18

Classifier Evaluation and Model Fairness

Ch. 16

Wed Mar 11

DISC 10

Lab 9 Reflection

Thu Mar 12

LEC 19

Review, Conclusion

Ch. 19.5

Week 11 – Final Exam

Sat Mar 14

EXAM

Final Exam

Tue Mar 17

PROJ 4

Project 4