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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

Getting Started Guide Here

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): TUE/THU 10:00pm - 10:30pm (PDT), Zoom link
  • Akshay Nagarajan (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. The sessions are listed below. Drop into whichever fits your schedule. You do not need to attend all of them, 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 (Akshay) Mon 9:30-10:30am Zoom link
Friday (Akshay) Fri 9:30-10:30am Zoom link
Tuesday (Kyle) Tue 9:00-10:00pm Zoom link
Thursday (Kyle) Thu 9:00-10:00pm Zoom link

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 Aug 3

LEC 1 What is Data Science? recording
slides

HW All 3 assignments released. Work at your own pace.

QUIZ All 5 reading quizzes released. Work at your own pace.

🏠  Tue Aug 4

LEC 2 Ethics
slides

🏠  Wed Aug 5

LEC 3 Questions
slides

🏠  Thu Aug 6

LEC 4 Reproducibility
slides

🏠  Sat Aug 8

PROJECT Groups must be finalized DUE @ 11:59pm PDT sign up here

🏠  Sun Aug 9

QUIZ Reading Quiz 1 DUE @ 11:59pm PDT submit here

Week 2 - Data Fundamentals and Collection, Wrangling and Visualization
- 📘 Read R2: Ethics Readings.

🏠  Mon Aug 10

LEC 5 Data
slides demo data

🏠  Tue Aug 11

LEC 6 Data Collection
slides

🏠  Wed Aug 12

LEC 7 Data Wrangling
slides

QUIZ Reading Quiz 2 DUE @ 11:59pm PDT submit here

🏠  Thu Aug 13

LEC Guest Lecture - Python Coding and EDA

🏠  Fri Aug 14

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 Aug 17

LEC 8 Data Visualization
slides demo

🏠  Tue Aug 18

LEC 9 EDA
slides

🏠  Wed Aug 19

LEC 10 Communicating Data Science
slides

QUIZ Reading Quiz 3 DUE @ 11:59pm PDT submit here

🏠  Thu Aug 20

LEC 11 Inferential Analysis
slides

PROJECT Report Part 1 DUE @ 11:59pm PDT submit here

🏠  Fri Aug 21

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 Aug 24

LEC 12 ML (part 1)
slides

🏠  Tue Aug 25

LEC 13 ML (part 2)
slides

🏠  Wed Aug 26

LEC 15 Geospatial Data Analysis
slides

QUIZ Reading Quiz 4 DUE @ 11:59pm PDT submit here

🏠  Thu Aug 27

LEC Guest Lecture 1

🏠  Fri Aug 28

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 Aug 31

LEC Guest Lecture 2

🏠  Tue Sep 1

LEC 16 Computer Vision
slides

🏠  Wed Sep 2

LEC 17 Algorithms
slides

QUIZ Reading Quiz 5 DUE @ 11:59pm PDT submit here

PROJECT Project Video DUE @ 11:59pm PDT submit here

🏠  Thu Sep 3

LEC 18 Data Science Jobs
slides

PROJECT Report Part 2 DUE @ 11:59pm PDT submit here