See Recommendation Below
Does Not Satisfy Graduation Requirements
Data changes how we understand the ways that humans interact with other people, devices, and the world around us. Cell phone records, stock transactions, targeted ads and fake news, power utilization of the electric grid, designing autonomous vehicles, predicting future temperatures in a warming climate; data is everywhere.
Data Science is the process of acquiring, processing, and learning from data. Coursework asks students to learn how to acquire data from publicly available data repositories, manipulate data tables (and “clean” the data for easy processing), utilize Python to ask questions and create visualizations that both interpret and tell stories about specific data.
In addition, students use basic machine learning (ML) algorithms to extrapolate and make predictions based on available data. A student-directed project culminates the course, with each student identifying, acquiring, and learning from a data set in an area of interest, and the presenting of the data story.
Recommendation: Includes elements of computer programming and mathematical regression modeling. Prior experience with coding, an introductory computer science course, and/or Precalculus recommended.