We will be posting all lecture materials on the course syllabus.

Exam Resources

Semester Midterm (1) Midterm 2 Final
Spring 2022 Exam (Solutions) Exam (Solutions)  
Fall 2021 Exam (Solutions) Exam (Solutions)  
Spring 2021 Exam (Solutions) Exam (Solutions)  
Fall 2020 Exam (Solutions)   Exam (Solutions)
Spring 2020 Exam (Solutions)    
Fall 2019 Exam (Solutions)   Exam (Solutions)

Here is a collection of resources that may help you learn more about various concepts and skills covered in the class. Learning by reading is a key part of being a well-rounded data scientist. We will not assign mandatory reading but instead encourage you to look at these materials.

Web References

In this class we will be using several key libraries. Here are their documentation pages:

Textbooks from Previous Data Science Courses

Data 102 builds on material taught in previous data science courses. You may find the textbooks from those courses helpful:

Reading Resources

Because data science is a relatively new and rapidly evolving discipline there is no single ideal textbook for this subject. The instructors are in the process of developing an online textbook for the course, but this is still a work in progress. You can find useful reading among the following collection of books, all of which are free.