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Introduction to R Programming

Thursday, November 5, 2020 - 9:00am to 4:00pm

November 5 - 6

This two-day training course will help you to learn the practical aspects of the R programming language. Hands-on labs will allow attendees to immediately apply their theoretical knowledge in practice. R has various packages covering a wide range of topics such as econometrics, finance, and time series. R has best-in-class tools for visualization, reporting, and interactivity, which are as important to business as they are to science. R is well-suited for scientists, engineers, and business professionals.

Prerequisite: Basic understanding of programming.

Course Topics Include:

  • What is R?
  • Introduction to Functional Programming with R
  • Managing Your Environment
  • R-Type System & Structures
  • Extending R
  • Read-Write & Import-Export Operations in R
  • Statistical Computing Features in R
  • Data Manipulation & Transformation in R
  • Data Visualization in R
  • Using R Efficiently
  • Lab Exercises

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

  • Building data frames, selecting specific rows and columns, adding columns, and applying functions on columns that contain date values
  • Downloading public data into R, applying manipulation functions on data records, and summarizing insights from data
  • Merging datasets by foreign keys, reshaping datasets, selecting random samples from data-frames, and aggregating columns by other columns.
  • Creating different data visualizations and saving 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.

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University IT Technology Training

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