Introduction to Statistical Computing with the R Programming Language

By Anthony Damico

This hands-on workshop mixes powerpoint-free discussion of open source R with guided coding examples for data analysis. Bring your laptop!!

Date and time

Location

Martin Luther King Jr. Memorial Central Library ROOM 401-G

901 G Street Northwest ROOM 401-G Washington, DC 20001

Speakers

Agenda

1:30 PM - 2:15 PM

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?

2:15 PM - 3:00 PM

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?

3:00 PM - 3:00 PM

BREAK FOR SNACKS!

3:00 PM - 3:45 PM

Conversation about Learning Resources and Additional Uses of R

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

3:45 PM - 4:30 PM

Hands-on Session with R Coding and Scripting

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

Good to know

Highlights

3 hours
In person

About this event

Science & Tech • Science

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

Organized by

Anthony Damico

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