Data Science Principles


Introduction to the field of data science. Exploration of basic principles, tools, methodologies, and general data science practices. Emphasis on exploratory data analysis, predictive modeling, descriptive modeling, data product creation, and evaluation. Topics include appropriate and current industry standard tools used to analyze data obtained from a variety of public sources. Coursework also includes study of exploratory data analysis techniques, basic statistical modeling subjects, predictive and graphical modeling. Fall Only.

3 Credits: 3 Lecture

CIT260 and CIT280 and MTH160; or
CIT260 and CIT280 and MTH161; or
CIT260 and CIT281 and MTH160; or
CIT260 and CIT281 and MTH161