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 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, 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
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Highlights
- 3 hours
- In person
Location
Martin Luther King Jr. Memorial Central Library ROOM 401-G
901 G Street Northwest
ROOM 401-G Washington, DC 20001
How do you want to get there?
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?
BREAK FOR SNACKS!
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