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

Tuesday, March 19, 2019

9:00 am

Birch Hall, RM: 105 Birch Lab A

Sponsored by:
University IT Technology Training

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: 

  • Build dataframes, selecting specific rows and columns, add columns, and apply functions on columns that contain date values
  • Download public data into R, apply manipulation functions on data records and summarize insights from data
  • Merge datasets by foreign keys, reshape datasets, select random samples from dataframes, and aggregate columns by other columns
  • 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.

Tuesday, March 19, 2019
9:00 am – 4:00 pm
Birch Hall, RM: 105 Birch Lab A

Available to Stanford University staff, faculty, or students.



Class Education 

Faculty/Staff, Students
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