Catalogue 2019 - 2020

BIS 325 Data Analysis with R

Credits

3 cr.

Prerequisite

BIS 321 or equivalent

Course Description

This course starts with an introduction to language R. Students learn basic data and object types, programming statements and control structures, as well as the use of R libraries. Next, the students learn how to apply exploratory data analysis tools, using frequency and contingency tables, charts, summary measures, and dealing with data quality assurance. Finally, the students delve into the real power of R. They develop applications, using hypothesis testing, and model based methods—both analytic and simulation driven. The students will work in teams on data analysis projects, one of which will deal with Big Data, utilizing R and an SQL database system.

Distribution

MR

Fee