Surveys industrial and scientific applications of data analytics with case studies including exploration of ethical issues via case studies. Students will work with a variety of real world data sets and learn how to prepare data sets for analysis by cleaning and reformatting. We will also cover a variety of data exploration techniques including summary statistics and visualization methods.
[(CS 401 with min. grade of D, CS 425 with min. grade of D, and MATH 474 with min. grade of D)]