Introduction to Data Science with R

4.0 credits · Undergraduate

This is an applied introductory course for students who wish to harness growing digital and computational resources. The focus of the course is on using data to identify patterns, evaluate the strength and significance of relationships, and generate predictions using data, carrying students through the entire data science workflow from data collection to communication of results. These techniques are implemented using a reproducible workflow, programmatic techniques, and version control software. Students will learn how to use data to make effective arguments, in a way that promotes the ethical usage of data.