WHAT is Being Taught in the IntroDS Course?
Prerequisites
Based on the data collected, 66% of IntroDS courses have no required prerequisite, and of those with a required prerequisite statistics is the most common.
Technology
Instructors were asked about technology use (exclusively, significant, we touch on it, or not at all) in their IntroDS course. The graph below summarizes exclusive + significant technology use by prerequisite of the course.
Data Science Definitions
Instructors were asked to provide the definition of data science given to students. The responses have been summarized into the following main categories.
Some instructors' definitions were more of a discipline specific type of definition which are summarized below.
Time Spent
There is a lot of variability in the time spent on different topics in an IntroDS course. The following figure displays the time spent by prerequisite of the course. The topics with diagonal lines represent core data science topics.
Specific Topics / Skills
The following graphics summarize information collected from the IntroDS Course Survey. Respondents were asked to indicate whether the following skills/concepts were taught in their course. The summaries are categorized by having a CS prerequisite, a Stat prerequisite, or no CS or Stat prerequisite.
Data Science Program Topics
As part of the MASDER project, we also worked to synthesize the Data Science curriculum (beyond just IntroDS). The final synthesis of the information can be found in the interactive Data Science Program Topics Shiny App.