CITC 1370 - Statistics for Data Analytics

3 Credits
2 Class Hours, 2 Lab Hours

This course focuses on the application of statistical and research methods using data analytics. Topics include measure of relative position (discovering outliers and data distribution), data preprocessing, using large data sets and technology to find probability, measure of center/variation/relative position, and hypothesis testing, and discovering appropriate sampling methods and sizes based on large data sets. Prerequisite(s): INFS 1010 and MATH 1530, both with minimum grades of “C”

Semester Availability: Fall, Spring

Not part of a Tennessee Transfer Pathway

Syllabus