Introduction to Data Science - Summer 2026
👋 Welcome to Cogs 9 where we understand data and how it shapes our world.
Summer Session 1 & 2 (2026)
Remote Class
Lectures Pre-Recorded
This is a remote asynchronous class. Therefore, lectures have been pre-recorded. Also, all quizzes and HW assignments are open and you can work on them at your own pace, just be mindful of the due dates for each. There is no final exam in this class, just a final group project.
Joining the class late? Summer moves fast. Read the Joining Late page right away for the few steps to get set up (Piazza, Gradescope, a project group) and stay eligible for full credit.
Office Hours
Live help on Zoom. Bring questions about lectures, assignments, or the project.
- Kyle Shannon (instructor): Wednesday 3:00pm - 4:00pm, Zoom link
- Ian Zane (TA): during the Project Studio sessions below
Project Studio
Project Studio is live working time for your group project on Zoom, starting in Week 2. There are five sessions every week, listed below. Drop into whichever fits your schedule. You do not need to attend all five, and staff are there to answer questions and help your team make progress.
Your group must attend at least one studio each week. Just check in with your team name when you join, and staff will mark your group present. For each week your group does not attend a studio, you lose up to 2% off your final grade.
| Session | When (PDT) | Zoom |
|---|---|---|
| Monday (afternoon) | Mon 5:00-6:00pm | TBD |
| Tuesday (afternoon) | Tue 2:30-3:30pm | TBD |
| Tuesday (evening) | Tue 9:00-10:00pm | Zoom link |
| Thursday (afternoon) | Thu 2:30-3:30pm | TBD |
| Friday (morning) | Fri 8:00-9:00am | TBD |
See the Project Studio page for the weekly project plan and group sign-up.
Course Calendar
Lectures, readings, and due dates, laid out week by week.
Week 1 - Intro to DataSci and Data Ethics, Data Questions and Reproducibility
- 📘 Read R1: Data Science Readings.
- 🏠 Mon Jun 29
-
HW All 3 assignments released. Work at your own pace.
-
QUIZ All 5 reading quizzes released. Work at your own pace.
- 🏠 Tue Jun 30
- 🏠 Wed Jul 1
- 🏠 Thu Jul 2
-
LEC 4 Reproducibility
slides - 🏠 Fri Jul 3
-
OFF 🇺🇸 Independence Day (holiday)
- 🏠 Sat Jul 4
-
PROJECT Groups must be finalized DUE @ 11:59pm PDT sign up here
- 🏠 Sun Jul 5
-
QUIZ Reading Quiz 1 DUE @ 11:59pm PDT submit here
Week 2 - Data Fundamentals and Collection, Wrangling and Visualization
- 📘 Read R2: Ethics Readings.
- 🏠 Mon Jul 6
- 🏠 Tue Jul 7
-
LEC 6 Data Collection
slides - 🏠 Wed Jul 8
-
LEC 7 Data Wrangling
slides -
QUIZ Reading Quiz 2 DUE @ 11:59pm PDT submit here
- 🏠 Thu Jul 9
- 🏠 Fri Jul 10
-
HW A1 Data Visualization DUE @ 11:59pm PDT submit here
-
PROJECT Project Proposal DUE @ 11:59pm PDT submit here
Week 3 - EDA and Communication, Inferential Analysis and Data Literacy
- 📘 Read R3: Data Wrangling Readings.
- 🏠 Mon Jul 13
-
LEC 8 Data Visualization
slides demo - 🏠 Tue Jul 14
- 🏠 Wed Jul 15
-
LEC 10 Communicating Data Science
slides -
QUIZ Reading Quiz 3 DUE @ 11:59pm PDT submit here
- 🏠 Thu Jul 16
-
LEC 11 Inferential Analysis
slides -
PROJECT Report Part 1 DUE @ 11:59pm PDT submit here
- 🏠 Fri Jul 17
-
HW A2 p-hacking DUE @ 11:59pm PDT submit here
Week 4 - ML Fundamentals and Applications, and Specialized Data Types
- 📘 Read R4: Data Visualization Readings.
- 🏠 Mon Jul 20
-
LEC 12 ML (part 1)
slides - 🏠 Tue Jul 21
-
LEC 13 ML (part 2)
slides - 🏠 Wed Jul 22
-
LEC 15 Geospatial Data Analysis
slides -
QUIZ Reading Quiz 4 DUE @ 11:59pm PDT submit here
- 🏠 Thu Jul 23
-
LEC Guest Lecture 1
- 🏠 Fri Jul 24
-
HW A3 Machine Learning DUE @ 11:59pm PDT submit here
Week 5 - Guest Lectures, Industry Insights, Modern AI Applications and Future of DS
- 📘 Read R5: Machine Learning Readings.
- 🏠 Mon Jul 27
-
LEC Guest Lecture 2
- 🏠 Tue Jul 28
-
LEC 16 Computer Vision
slides - 🏠 Wed Jul 29
-
LEC 17 Algorithms
slides -
QUIZ Reading Quiz 5 DUE @ 11:59pm PDT submit here
-
PROJECT Project Video DUE @ 11:59pm PDT submit here
- 🏠 Thu Jul 30
-
LEC 18 Data Science Jobs
slides -
PROJECT Report Part 2 DUE @ 11:59pm PDT submit here