Introduction to Statistical Computing with the R Programming Language

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

Info: Attendees welcome to arrive prior to the 6 p.m. meeting start time for assistance installing & configuring R!

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

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

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

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

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