Introduction to Statistical Computing with the R Programming Language

This hands-on workshop mixes powerpoint-free discussion of open source R with guided coding examples for data analysis. Bring your laptop!!
About this Event

This face-to-face short course outlines how to get started with the R programming language

This half-day session equips attendees with a broad & unintimidating overview of how to approach quantitative research tasks on a wide variety of topics including data science, geospatial analysis, graphical visualization, epidemiology & clinical trials, econometrics & actuarial science, database engineering, experiment design, natural language processing, medical imaging, !

Learning Outcomes

• R programming introduction with hands-on coding and scripting - beginners are welcome!!
• Familiarity with the open source community that built this powerful computing technology, with comparisons to a range of alternatives like Python, C++, JavaScript, Stata, HTML, Microsoft Excel
• Understanding the CRAN package ecosystem like data.table, the tidyverse, superfast SQL duckdb

Agenda

🕑: 09:30 AM - 10:15 AM
Discussion of Statistical Computing with the R Programming Language

Info: What does free & open source software really mean, who created the R project, who uses it, and why?

🕑: 10:15 AM - 11:00 AM
Hands-on Session and Getting Started with R

Info: How do R users interact with the windows on the screen, save our work, share methods, & publish results?

🕑: 11:00 AM - 11:00 AM
BREAK FOR SNACKS!
🕑: 11:00 AM - 11:45 AM
Conversation about Learning Resources and Additional Uses of R

Info: Where do interested individuals seek help, troubleshoot, advance our own discipline-specific R expertise?

🕑: 11:45 AM - 12:30 PM
Hands-on Session with R Coding and Scripting

Info: Which R commands access the rows & columns of a table of data faster than point-and-click spreadsheets?