Data Analytics for Decision Making

COURSE DESCRIPTION

This is an introductory course that allows students to format, calculate, and analyze data. The course will equip students with the skills needed to use a spreadsheet and python programs. Topics include numerical and graphical summaries of data, hypothesis testing, confidence intervals, counts and tables, analysis of variance, regression, principal components, and cluster analysis. Upon completion of this course, students should be able to think critically about data and apply standard statistical inference procedures to draw conclusions from such analyses.  

The application deadline for this course is June 1, 2024.