Welcome to the Tidyverse: An Introduction to R for Data Science

One day workshop on Monday October 14 & repeated on Tuesday October 15

Looking for an effective way to learn R? This one day course will teach you a workflow for doing data science with the R language. It focuses on using R’s Tidyverse, which is a core set of R packages that are known for their impressive performance and ease of use. We will focus on doing data science, not programming.

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Building Tidy Tools

Monday October 14 8:00am - Tuesday, October 15 5:00pm

You should take this workshop if you have experience programming in R and want to learn how to tackle larger scale problems. You’ll get the most from it if you’re already familiar with functions and are comfortable with R’s basic data structures (vectors, matrices, arrays, lists, and data frames). Note: There is ~30% overlap in the material with Hadley’s previous “R Masterclass”. However, the material has been substantially reorganized, so if you’ve taken the R Masterclass in the past, you’ll still learn a lot in this class.

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Machine Learning Workshop

Monday November 18 – Tuesday November 19

This two-day course will provide an overview of using R for supervised learning. The session will step through the process of building, visualizing, testing, and comparing models that are focused on prediction. The goal of the course is to provide a thorough workflow in R that can be used with many different regression or classification techniques. Case studies on real data will be used to illustrate the functionality and several different predictive models are illustrated.

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Introduction to Machine Learning with the Tidyverse

Thursday December 12 – Friday December 13

This is a test run for a workshop in the final stages of development. The workshop provides a gentle introduction to machine learning and to the tidyverse packages that do machine learning. You’ll learn how to train and assess predictive models with several common machine learning algorithms, as well as how to do feature engineering to improve the predictive accuracy of your models. We will focus on learning the basic theory and best practices that support machine learning, and we will do it with a modern suite of R packages known as tidymodels. Tidymodels packages, like parsnip, recipes, and rsample provide a grammar for modeling and work seamlessly with R’s tidyverse packages.

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About Workshops

Want to learn R? You’ve come to the right place. Our public, in-person workshops offer an intense one or two day experience to get you up and running with new techniques and technology. Our world class instructors and teaching philosophy make our workshops useful and enjoyable.

We hold workshops wherever demand is greatest. Let us know your interests and where you’re located so we can plan a workshop near you.

Stay in the loop

Get the latest about our in-person workshops as well as rstudio::conf in January.