Introduction to Statistical Computing with the R Programming Language

Introduction to Statistical Computing with the R Programming Language

Overview

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

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, 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

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

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, 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

Anthony Damico

Independent Consultant

Good to know

Highlights

  • 1 hour 30 minutes
  • In person

Location

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

901 G Street Northwest

ROOM 401-E Washington, DC 20001

How do you want to get there?

Map

Agenda

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R Setup Help & Troubleshooting

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

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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?

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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?

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