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Introduction to Advancement Analytics Using R
About
Advancement is more reliant on data-driven decision making than ever before, and our need for understanding the data we collect is only increasing. However, our ideas and needs often move faster than our resources. In this hands-on workshop, we will explore how to leverage R, an open-source technology that can provide flexible analysis and accelerate how we understand our constituents. Through this session and its toolkit, you will learn:
  • Introduction to R and RStudio
  • Importing data from excel spreadsheets and SQL databases
  • Descriptive and inferential analysis for advancement
  • Incorporating machine learning techniques
  • Communicating your findings through visualization
This workshop is ideal for anyone interested in enhancing their analytic and visualization skills. By the end of the session, you will be equipped to uncover insights from your own data, benchmark progress against other institutions’ data, and transform data into actionable insights.
Pricing

 

Ends June 6, 2025

Begins June 7, 2025

Member Individual

$99

$125

Non-member Individual

$140

$175

Member Institution (unlimited seats)

$500

$625

Non-member Institution (unlimited seats)

$700

$875



If you are unsure if your institution is a member or you'd like to become one, visit the CASE Membership page or email membership@case.org for assistance.
Speaker
Nick Campisi, Ph.D.
Data Scientist, CASE

Nicholas Campisi, PhD currently serves as CASE’s Director of Data Science, where he uses R to develop benchmarking reports for CASE survey participants. He trained at top institutions in the United Kingdom and Germany, where he served as the department expert in R programming and taught introductory and advanced statistical analysis in R to university students. In his roles working with government bodies in the United States and United Kingdom, he integrated analysis in R with SQL databases and higher education data products. 

Summary
Availability: Registration Required
Location: Online Meeting
Date / Time: Jun 16, 2025 1:00 PM - 3:00 PM ET
Credit Offered:
2 CFRE Credits
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