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
Wilmington Public Library (Jacob Broom Meeting Room)
10 East 10th Street
2nd Floor Wilmington, DE 19801
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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