Introduction to Data Analysis with R (2-day class)

In this hands-on course, the R programming language is taught with the objectives to collect, analyze, and visualize datasets from various sources, and apply practical statistical data analysis.

Prerequisite: Basic understanding of programming.

Section topics in this two-day class include: 

• Section 1: Basic syntax and R data structures
• Section 2: Reading data to R and manipulating datasets
• Section 3: Merging datasets and developing aggregated summary tables
• Section 4: Data visualization techniques

During and at the end of each session, hands-on exercises will be practiced to: 

1. Build dataframes, selecting specific rows and columns, add columns, and apply functions on columns that contain date values
2. Download public data into R, apply manipulation functions on data records, and summarize insights from data
3. Merge datasets by foreign keys, reshape datasets, select random samples from dataframes, and aggregate columns by other columns
4. Create different data visualizations and save them in different formats
    

University IT Technology Training classes are only available to Stanford University staff, faculty, or students. A valid SUNet ID is needed in order to enroll in a class.