Session

FasteR Workflow: Time - Saving Tips for Starting Data Science with R Programming

R Programming has been a popular statistical analysis language for analysts at corporations, government agencies, and research organizations. But as a single threaded language R programming capabilities have been limited to local usage on laptops. With libraries and cloud platform options, analysts can now save time in running R programs and create a stable workflow.

This brief talk will show how attendees can conduct data exploration in R programming. Attendees will learn about libraries for data exploration, tips for working with other professionals in examining data, and the latest features in R Studio (1.4) and for R (4.0).

Pierre DeBois

Zimana Analytics

Gary, Indiana, United States

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