Introduction to Statistical Computing with the R Programming Language
Overview
This face-to-face short course outlines how to get started with the R programming language
This 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, and many more!
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
Speakers
Good to know
Highlights
- 1 hour 30 minutes
- In person
Location
Arlington Central Library (Bluemont Room)
1015 North Quincy Street
Bluemont Meeting Room Arlington, VA 22201
How do you want to get there?
R Setup Help & Troubleshooting
Attendees welcome to arrive prior to the 6 p.m. meeting start time for assistance installing & configuring R!
Discussion of Statistical Computing with the R Programming Language
What does free & open source software really mean, who created the R project, who uses it, and why?
Hands-on Session and Getting Started with R
How do R users interact with the windows on the screen, save our work, share methods, & publish results?
Organized by
Anthony Damico
Followers
--
Events
--
Hosting
--