CITC 1370 - Statistics for Data Analytics

Credit hours: 3

Prerequisites: MATH 1530 - Introductory Statistics

Course Description:
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.

Student Learning Outcomes:
Students will be able to:

Apply preprocessing techniques to prepare large data sets
Determine outliers and visually show data distributions
Calculate statistical and probabilistic values and perform appropriate sampling, using a computer program and large data sets
Apply concepts and interpret results of real-life scenarios/problems, using hypothesis testing
Understand and analyze/compare/contrast statistical terms and definitions