Resources 📚
Table of contents
- Readings and Reference Sheets
- Python Programming Tutorials, Resources, and Exercises
- Supplemental Videos
- Probability-Specific Resources
- Practice Exams
- UC San Diego Links
- Other
Readings and Reference Sheets
- Course Notes
- Supplementary Textbook (Computational and Inferential Thinking)
- DSC 10 Reference Sheet (handy summary)
babypandas
Documentation
Python Programming Tutorials, Resources, and Exercises
- PythonTutor, a Python visualization tool
- Software Carpentry
- Code Academy
- Coding Bat
- Introduction to Computational Thinking with Data
- Pair Programming Guidelines
Supplemental Videos
Lecture-Specific Videos
These are some videos that were meant to supplement a previous iteration of the course. They cover information that we’ll also cover this quarter.
- DataFrames (Lecture 4)
- Grouping (Lecture 6)
- Bar Charts (Lecture 7)
- Example: days_between (Lecture 11/12)
Other
Probability-Specific Resources
- Note 18 in the course notes
- Computational and Inferential Thinking, Chapter 9.5
- Theory Meets Data, Chapters 1 and 2.
- Khan Academy’s unit on Probability
Practice Exams
Below we’ve linked PDF versions of the exams from two previous offerings of the course. Note that these were given remotely, whereas we will have an in-person, on-paper exam.
Quarter | Instructor(s) | Midterm | Final | Notes |
---|---|---|---|---|
Fall 2021 | Suraj Rampure and Janine Tiefebruck | exam, solutions | exam, solutions | Â |
Winter 2021 | Janine Tiefenbruck | exam, solutions | exam, solutions | - The Winter 2021 midterm was 75 minutes long, while ours will be 50 minutes long. Also, our exams will not have any open-ended questions. - Video walkthrough of Question 10.2-10.3 on the Midterm |
UC San Diego Links
- Data Science Undergraduate Program
- DSC 10 Waitlist and Enrollment
- Data Science Advising
- Library Guide to Data and Statistics
- Academic Integrity Homepage
- Counseling and Psychological Services (CAPS)