Introduction to Statistical Computing with the R Programming Language
About this Event
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, !
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
🕑: 02:00 PM - 02:45 PM
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?
🕑: 02:45 PM - 03:30 PM
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?
🕑: 03:30 PM - 03:30 PM
BREAK FOR SNACKS!
🕑: 03:30 PM - 04:15 PM
Conversation about Learning Resources and Additional Uses of R
Info: Where do interested individuals seek help, troubleshoot, advance our own discipline-specific R expertise?
🕑: 04:15 PM - 05:00 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?
Where is it happening?
Event Location & Nearby Stays:
USD 0.00
