GDEV 2295 - Data Science with R

Spring. 3 credits. Student option grading.

Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: AEM 2850, GDEV 4290, GDEV 5290, NTRES 6100, STSCI 3040, STSCI 5040.
C. Liao.

In this course, you will learn how to program in R and use this statistical software for effective data analysis and visualization. You will convert raw data into understanding and knowledge by using R for importing data, managing variables, executing basic functions, developing loops, creating linear models, and generating various kinds of graphs. This course is designed for those who have no experience in R or programming in general. It is a hands-on course to enable students to develop skills and solve statistical problems using R. It will help you to develop programming skills and introduce you to a new way of thinking and a new syntax of writing for data analysis, visualization, and communication.

Outcome 1: Implement the syntax of base R and ggplot2 package.

Outcome 2: Import a variety of data formats into R.

Outcome 3: Clean a dataset and make it ready for analysis.

Outcome 4: Conduct basic summary statistics for a dataset.

Outcome 5: Perform basic statistical analysis (e.g. linear regression).

Outcome 6: Produce data visualizations using base R and more advanced packages.