R and Python are two of the most popular programming languages for data science. Our consultations and trainings for these languages intersect with our other focus areas; in addition to getting started in either language and troubleshooting your code, we can help you learn how to effectively manage your data, implement and follow recommended practices for reproducible research, and visualize your data.
Email firstname.lastname@example.org with a description of what you are working on, and we will set up a personalized one-on-one virtual consultation to help you.
We help with
Troubleshooting and Reviewing Code
Puzzling over an error message or warning generated by your code? Want feedback on your code? Contact email@example.com to get help!
Webinars and Self-Paced Learning
Data Services offers a number of hands-on webinars on R and Python each semester. Our trainings range from introductory programming concepts for the beginner, to intermediate concepts in both languages for those looking to improve their skills. Visit our event calendar to see upcoming webinars.
Frequently Offered Webinars Include:
Intro to R for Absolute Beginners
Intro to Python for Absolute Beginners
Data Cleaning in R
Manipulating and Joining Data in R with dplyr
Introduction to Data Visualization in R
Data Visualization in R with ggplot2
Interactive Data Visualization in R with Shiny
Data Wrangling in Python: Introduction to the pandas library
Introduction to Data Visualization in Python
Services we do not cover
- Write analytic code for researchers
- Suggest or review statistical analysis for a study