AII-I 200 Introduction to Data Science
3 credits
- Prerequisite(s): None
- Delivery: On-Campus, Online
Description
This course introduces data science and programming in the R statistical computing environment. Students learn relevant concepts from statistics, mathematics, and computer science. Topics include data manipulation, analysis, modeling, and visualization. Students gain experience analyzing real-world datasets from science, government, and industry.
Learning Outcomes
- Develop programs in R.
- Load, manipulate, and analyze datasets.
- Build simple data models and perform statistical analyses.
- Communicate results through data visualizations, including graphs and tables.
- Analyze applications of data science in science, government, and industry.
Policies and Procedures
Please be aware of the following linked policies and procedures. Note that in individual courses instructors will have stipulations specific to their course.