- Supplemental Resources
- Practice Exams
- UC San Diego Links
These resources will directly complement the content from lectures and assignments in this course. Use them often!
- Textbook: Computational and Inferential Thinking
- DSC 10 Reference Sheet (handy summary)
- PandasTutor, a DataFrame visualization tool
If you’re looking for additional Python practice, these resources are generally helpful for Python learners, but are not specific to our course. Use them for futher explanations and practice exercises.
- PythonTutor, a Python visualization tool
- Software Carpentry
- Code Academy
- Coding Bat
- Introduction to Computational Thinking with Data
These are some additional resources to complement Lecture 12, our probability lesson. Use them for extra problem-solving practice.
This article and visualization intuitively decribes permutation testing, which we cover in Lecture 17. It’s very helpful for thinking about permutation testing.
These are some videos we made to address common questions of DSC 10 students. Definitely watch them!
These are some videos we made 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)
Past exams and detailed solutions can be found at practice.dsc10.com. Use this site to help you prepare for the midterm and final exam.
- 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)