📚 Resources
Table of contents
Course Texts
As this course has been created and tailored for the specific needs of our Data Science majors, there is not one single textbook that fits the course. As such, we will be utilizing excerpts from a variety of textbooks / course notes. The specific chapters/sections mapping to each lecture are linked on the main page, but here are each of the texts in their entirety. You are not responsible for anything that is in these texts that is not covered in lecture; this is here for your reference only.
Textbooks
- ModernDive - Chester Ismay, Albert Kim and Arturo Valdivia
- Handbook of Regression Modeling in People Analytics - Keith McNulty
- Time Series Analysis With R - Nicola Righetti
- R Cookbook - James (JD) Long, Paul Teetor
Course notes
- PSU Applied Statistics Course Notes - Penn State Department of Statistics
- Statistics and Predictive Analyics Course Notes - Jeff Webb, University of Utah
- Data Handling, Visualization and Statistics Course Notes - Owen R. Jones, University of Southern Denmark
UC San Diego Links
- Data Science Undergraduate Program
- Data Science Advising
- Library Guide to Data and Statistics
- Academic Integrity Homepage
- Counseling and Psychological Services (CAPS)