Introduction to Data Analytics

3 credit hours · Undergraduate

In this course students will learn various techniques from statistics and computing science to collect, store, modify, and visualize large datasets, as well as how to build, test, and interpret models that describe real-life situations involving that data, with the goal of using these models to make predictions for new data. Three hours of lecture and one recitation of 1.5 hours per week.