Training

We Offer On-Site Training in R

Quickly get up and running with R

Goals

This 2-day hands-on workshop gets participants up and running with R statistical software. It is designed to provide the solid foundation needed to conduct data analysis and visualization for data science. No previous experience is required, though some basic programming or data science experience is helpful.


Our workshops get 4.6 out of 5 in hundreds of anonymous reviews

Our workshops get 4.6 out of 5 in hundreds of anonymous reviews


Agenda

Day 1: Introduction to R programming

  • Why it’s a great time to be using R!
  • Laying the foundation for R – an introduction to the R and RStudio software
  • How to write and execute code, where objects go, getting comfortable with the software
  • Why R uses the <- for assignment and other basics of the R language
  • Unlike SAS, R is object oriented, what objects are available and how do you use them?
  • Getting your data into R (CSV, Excel, SAS, big data – no problem)
  • Tidyverse, the new R workflow in depth. Using dplyr, magrittr and tidyr packages for data analysis. Zev wrote this article with Hadley Wickham (Chief Scientist at RStudio) and David Robinson (Chief Data Scientist at DataCamp) on the revolutionary impact of these new tools.

Day 2: Intermediate and advanced R programming topics

  • Data visualization with ggplot2 (in depth)
  • Small section on control structures (for, if else, while)
  • Emphasis on functionals instead of loops using the purrr package
  • Tips for writing more useful functions
  • Mini-sections on dates, strings and file systems (lubridate, stringr and fs packages)
  • A brief hands-on demonstration of other relevant technologies (R markdown, Shiny)

Day 3 (optional half-day): High performance R

This section is a survey of strategies for working with big data and speeding up code. Users will come away with a good sense of options for working with big data in R but the specific tools to use are context specific and thus each topic will be covered only briefly

  • Timing code and measuring object size
  • Tips for writing faster code
  • Packages for faster data manipulation (dplyr, data.table)
  • Working with external databases like PostgreSQL, Hadoop, MySQL, SQL Server
  • Other big data strategies (alternative linear algebra libraries, Microsoft R Open, running calculations in parallel, precompiling code or using C++ code, using optimized packages/functions designed for big data)

From the students and workshop organizers

Zev is an excellent teacher - clear, organized but also adaptive, patient, perceptive, highly knowledgeable in the subject matter, and simply nice and skilled at connecting with his audience.”

Anthony Coghlan
Freddie Mac
Director, Credit Analytics and Reporting,
Single Family Modeling and Analytics

People are still talking about the training you did for us! VERY POSITIVE IMPACT!! Thank you!!!!”

Sharla Bailey
Freddie Mac
Director, Training
Single Family Division

A student in my lab took the R course last week. He thought it was fantastic, and then used the knowledge to write a script to simplify and help in his analysis experiments he is doing for his project. He just told me that he used to be severely limited by the number of replicates he could analyze because of a problem handling the data – now that limitation is gone and he will be able to analyze much more data. Thank you for organizing the course.”

Anonymous
Cornell University
Professor, Department of Molecular Biology and Genetics
(from a note sent to the organizer of the R workshop)

Based on a great experience I had with an introductory R course that Zev taught at a scientific conference a few years ago, I invited Zev to deliver the introductory R workshop at Columbia University. The workshop was a perfect introduction for students and staff to this powerful, open source statistics and visualization software, and gave them the skills and confidence to get to work using R on their own data.”

Patrick Kinney
Columbia University
Professor of Environmental Health Sciences
Director, Columbia Climate and Health Program

Your training helped our entire team get their feet wet in R, the exercises along with the hands-on instruction helped us understand and work through R. From that perspective, it was invaluable to our entire team. Several of our analysts are now using R in their day to day project work.”

Ravi Ramachandran
Zurich Insurance Group, North America
Data Scientist

Teaching R at Cornell University

Teaching R at Cornell University

Workshop Instructor

Zev Ross is president of ZevRoss Spatial Analysis, a company focused on data science, statistics and data visualization. He is an RStudio recommended trainer and consultant and has used R on a daily basis for nearly 15 years conducting data analysis and statistics for a wide range of clients including some of the world’s largest public health agencies and Fortune 500 companies. Zev has authored or co-authored more than 40 scientific research papers and maintains a popular data science blog.

Zev has been teaching R workshops for 7 years and clients include the New York City Department of Health, Freddie Mac, Zurich Insurance, UCLA, Columbia University, Agriculture Canada and many others. These on-site wokshops have earned an average of 4.6 stars out of 5 in hundreds of anonymous reviews and 99% of the reviewers gave the workshops 4 or 5 stars.

Workshop Format

The workshop involves a mix of slides, collaborative hands-on material and exercises and can be held at your institution. Participants use their own laptops and will be provided access to RStudio Server for the course. To fit with busy schedules the workshop can be held on weekdays or weekends. The workshop is designed for up to 15 participants (but let us know if you have a small or large group).