DATA225G: Analytics Capstone

Class Program
Credits 2 Theory Hours 2 Lab Hours 0

This course serves as a final project for students who are seeking either the Certificate in Practical Data Science or the Associate Degree in Analytics. Students will need to combine knowledge gained in Statistics, including descriptive statistics, regression and analysis of variance, as well as advanced R programming language concepts and data extraction techniques to research a topic, perform data analysis and create a reproducible report.

Prerequisites

Successful completion of DATA220G and MATH235G with a C or better or by dept/program advisor approval

Semester Offered
Spring semester