Resources 📚

Table of contents

1. Practice Exams
2. Supplemental Videos
   1. Lecture-Specific Videos
   2. Other
3. Readings and Reference Sheets
4. Python Programming Tutorials, Resources, and Exercises
5. Probability-Specific Resources
6. UC San Diego Links
7. Other

Practice Exams

Below we’ve linked PDF versions of the exams from two previous offerings of the course. To see the format of the exams in this course on Gradescope, check out this Practice Exam Template.

Supplemental Videos

Lecture-Specific Videos

• DataFrames (Lecture 4)
• Grouping (Lecture 6)
• Bar Charts (Lecture 7)
• Example: days_between (Lecture 11/12)

Other

• Navigating DataHub and Jupyter Notebooks
• For Loops (and when not to use them)

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
  • PandasTutor, a DataFrame visualization tool
• Software Carpentry
• Code Academy
• Coding Bat
• Introduction to Computational Thinking with Data
• Pair Programming Guidelines

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
• Suraj’s DSC 40A slides on probability from last quarter
  • More in-depth than what you need to know for this course, but still may be helpful.

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)

Other

• Places to find datasets
• Permutation Testing Visualization