Introduction to R
13

Friday, 13 March

8:30 11:30 am EDT

GA D.C.

509 7th Street NW, 3rd Floor
Washington, D.C. 20004
$75 USD
Regular Ticket
$75 USD
Total

Questions? Read our FAQs

Introduction to R | March 13

Matt Brems Photo


‎Lead Data Science Instructor, General Assembly

13

Friday, 13 March

8:30 11:30 am EDT

GA D.C.

509 7th Street NW, 3rd Floor
Washington, D.C. 20004
$75 USD
Regular Ticket
$75 USD
Total

Questions? Read our FAQs

About This Workshop

Explore the intersection of coding and data with General Assembly. During our R-focused introductory workshop, you’ll learn to harness the power of an essential programming language for data scientists and use it to drive accurate business insights.

R is an open-source language making waves in the data science community. It is a powerful tool that makes it faster and easier to distill insights from complex data sets. If you want to level-up your analysis skills and learn a new way to process, analyze and visualize data, join us and learn the fundamentals of R.

Takeaways

  • Perform basic data manipulation and calculations with reproduce-able code
  • Discuss its applications in data analysis and the types of problems it can solve
  • See where R programming fits into the data workflow
  • Apply your new skills to solve a real-world problem with R

Preparation

This workshop is designed for anyone who is proficient in Excel (up through Pivot Tables and VLookups or Index Match) and proficient with SQL, Python, SAS, SPSS, STATA or some other programming language.

What to bring to class: All participants must bring their own laptop. Please also install the R programming language and RStudio (free version).

About the Instructor

Matt Brems Photo

‎Lead Data Science Instructor,
General Assembly

Matt currently is a global instructor for GA's Data Science Immersive program across the United States. Matt is a recovering politico, having worked as a data scientist for a political consulting firm through the 2016 election. Prior to his work in politics, he earned his Master's degree in statistics from The Ohio State University and his undergraduate degree at Franklin College in Indiana. Matt is passionate about putting the revolutionary power of machine learning into the hands of as many people as possible. When he's not teaching, he's volunteering with Statistics Without Borders, thinking about how to be a better teacher, falling asleep to Netflix, and/or cuddling with his pug.

In recognition of his exemplary service in the classroom, Matt has been selected as a member of General Assembly's Distinguished Faculty program and Matt earned the ‘Distinguished Faculty Member of the Year’ award in 2019. Matt also serves as the chair of GA's Product Advisory Board for data science.

Refund Policy

We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.

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