Institutional research professionals have a seemingly endless number of tools to choose from to analyze and report data. Besides being free and open-source, R is one of the few that lets users seamlessly complete the entirety of the data analysis pipeline, from importing data to making beautiful presentations, and everything in between. In this webinar, you will learn how to use the tidyverse - “a collection of R packages for data science” - to visualize, transform, model, and report data in R.
As a result of this webinar series, participants will:
Notes:
7 Hours
Date(s): Four-part series: May 25-28
Time: 2:00 PM - 3:45 PM ET
Format: Live Online
Topic: Analytics
Experience Level: All
Member/Non-Member Price: Four-part webinar series: $250 member/$270 non-member
Presenter(s): Arie Spirgel