This support resource targets students in the Data Science in Human Behavior Master’s program, and was adapted from materials generated by data-science experts at UW-Madison Libraries and the Data Science in Human Behavior Program. There is a wide spread of resources available online; the offerings in this Resource Library have been vetted by faculty, researchers, and practitioners to not only align with the DSHB coursework, but also to extend to meet industry needs. All materials in this Resource Library are optional and available for personal use at no cost. They have been categorized to ease navigation and prioritization.
Students beginning the DSHB program have varying degrees of familiarity with a variety of subjects. To meet the diverse needs of students, this Resource Library can be used for three primary purposes:
Some students may prefer to access only a handful of resources sporadically throughout the curriculum, whereas others may use this Resource Library as a helpful way to brush off the cobwebs. Regardless of where you begin, the Data Science in Human Behavior program coursework will get you to where you need to be. Consider this Resource Library as an option to feel more confident where you are, or even to get ahead!
Resources have been labeled in two ways to help you determine how to spend your time:
| Level | Definition |
|---|---|
| Primary | Content that will be introduced in Year 1 and used heavily throughout the curriculum |
| Secondary | Content that will be touched on during the curriculum |
| Level | Definition |
|---|---|
| Beginning | For students just beginning to learn about the content |
| Intermediate | For students who may need a refresher |
| Advanced | For students who understand the content and want to take a deeper dive |
Note that courses in the first two semesters focus on foundations of psychological experiments, programming, machine learning, and current topics in human behavioral data science. Semester three's course, Psych 755, is designed to provide you with the knowledge and experience of conducting large-scale behavioral data science projects using a variety of contemporary software tools and environments. In the second fall semester comprising of a capstone project in industry, government or a non-profit agency that will provide real world training and a potential route for future employment.Resources in this site will continue to aid you throughout the program.