Data Science Principles

CIT482

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. Course work also includes study of exploratory data analysis techniques, basic statistical modeling subjects, predictive and graphical modeling.

3 Credits: 3 Lecture

Prerequisites:
CIT260 and CIT280 and MTH160