MTH (0144) 225 - Statistics and Data Analytics

Credits: 3.00

Students will be introduced to statistics and data analytics using modern computing systems, with attention to fundamentals and practical aspects. Students will explore sources of data, data formats and transformation, the use of spreadsheets and databases, statistical analysis, pattern recognition, data mining, big data, and methods for data presentation.

Prerequisite 1: CSC 150  or CSC 171
Repeatable: No Grade Type: Regular
Course Learning Goals: •   Students will understand how to describe distributions of data and how to explain relationships between variables. This objective will be measured by Quizzes 1 and 2, and Examination 1.
•   Students will understand how to use probability distributions in data analysis. This objective will be measured by Quiz 3 and Examination 1.
•   Students will understand how to apply inferential statistics to various data sets. This objective will be measured by Quizzes 4, 5, and 6, and Examination 1.
•   Students will apply the principles of regression theory to various sets of data. This objective will be measured by Quizzes 7 and 8, Examination 2, and the Final Examination.
•   Students will understand the principles behind data mining and its relationship to structural equation modeling (SEM). This objective will be measured by Quizzes 9 and 10, and the Final Examination.