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Introduction to R Programming

Class Code Date Delivery Method Cost
ITS-2517
  • Tue May 14, 9:00 am to 12:00 pm
  • Thu May 16, 9:00 am to 12:00 pm
  • Tue May 21, 9:00 am to 12:00 pm
  • Thu May 23, 9:00 am to 12:00 pm
Live Online - 4 sessions $800

Most Technology Training classes will be delivered online until further notice.

Before each sesson, Tech Training will provide a Zoom link for live online classes, along with any required class materials.
 


This 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, data structures, and functions.

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: 

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

Lionel Levine is an independent educator with over 5 years of training experience. Lionel has developed and taught courses and seminars at the undergraduate and graduate levels, in topics ranging from computer programming, algorithms, Data Science, Machine Learning, and Population Health.

Custom training workshops are available for this program

Technology training sessions structured around individual or group learning objectives. Learn more about custom training


University IT Technology Training sessions are available to a wide range of participants, including Stanford University staff, faculty, students, and employees of Stanford Hospitals & Clinics, such as Stanford Health Care, Stanford Health Care Tri-Valley, Stanford Medicine Partners, and Stanford Medicine Children's Health.

Additionally, some of these programs are open to interested individuals not affiliated with Stanford, allowing for broader community engagement and learning opportunities.