DSC 80 – The Practice and Application of Data Science
This Week
Hypothesis Testing and Data Granularity
Lecture 4 — Pivot Tables, Simpson's Paradox
- 📖 Reading Chapters 2 and 3 - Introduction to Data Science
- 📓 Lecture Slides (pdf)
Lecture 5 — Merging and Cleaning Data
- 📖 Reading Chapter 4 - Introduction to Data Science
- 📓 Lecture Slides (pdf)
past weeks
Week 1
Tables and Messy Data
Lecture 2 — Pandas
- 📖 Reading Chapters 2 and 3 - Introduction to Data Science
- 📓 Lecture Slides (pdf)
Lecture 3 — Aggregating
- 📖 Reading Chapters 2 and 3 - Introduction to Data Science
- 📓 Lecture Slides (pdf)
Week 0
Introduction
Welcome to DSC 80!
Here's how to get started:
- Read the syllabus.
- Join our
Campuswire message board
and
Gradescope
with the email invitations you received earlier this week. If
you didn't receive an email, you can use access code
42BY42
for Gradescope and access code7629
for Campuswire. - Read the Tech Support page and set up your development environment.
- The first lectures will be on Thursday, September 25 at:
- 12:30 PM in CENTR 212.
- 3:30 PM in PODEM 1A22.
- There are no discussions for this class. Instead, we'll post optional, ungraded weekly exam study guides and host additional office hours.
See you in lecture!
Lecture 1 — Introduction
- 📖 Reading Chapter 1 - Introduction to Data Science
- 📓 Lecture Slides (pdf)
future weeks
Week 3
Permutation Tests
Week 4
Missingness
Week 5
HTTP and HTML
Week 6
Parsing HTML
Exam 01 on Thursday, Nov 06
Week 7
Text and Regex
Week 8
Features and sklearn
Week 9
Thanksgiving Week
Week 10
Model Evaluation and Fairness
Exam 02 on Saturday, Dec 06