Introduction to Statistical Computing with the R Programming Language

Practice writing code in a friendly, informal space and connect with others in the community! This meeting includes group discussions and fun activities for beginner, intermediate, and advanced learners

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: Storytelling-based history of what free & open source software really means, who created the R project, who uses it, and why it's so uniquely powerful & flexible

Info: User-friendly & accessible walk-through of how to interact with the boxes & windows on the screen, save work, share methods & collaborate, and publish results

Info: Easy-to-understand review of how to approach learning more, seeking help & troubleshooting, and finding people with shared scientific interests within the coding community

Info: Straightforward comparison of slower point-and-click spreadsheets like Microsoft Excel versus faster yet simple & efficient R syntax to access the rows & columns in a table of data

Event venue & nearby stays

Pier 57 (Seahorse Community Classroom), 25 11th Avenue, New York, United States

Concerts, fests, parties, meetups — all the happenings, one place.

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