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.
Consult
Email dataservices@jhu.edu 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 dataservices@jhu.edu 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:
Beginner-friendly Topics
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Coding Fundamentals
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Intro to R for Absolute Beginners
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Intro to Python for Absolute Beginners
Intermediate Topics in R (familiarity with R recommended)
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Data Cleaning in R
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Manipulating and Joining Data in R with dplyr
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Introduction to Data Visualization in R
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Data Visualization in R with ggplot2
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Interactive Data Visualization in R with Shiny
Intermediate Topics in Python (familiarity with Python recommended)
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Data Wrangling in Python: Introduction to the pandas library
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Introduction to Data Visualization in Python
Learn
Visit our Using R and Python Libguide to learn more about learning and using these two languages and our Data Visualization Libguide for more tutorials and resources on Data Visualization in R and Python.
Services we do not cover
- Write analytic code for researchers
- Suggest or review statistical analysis for a study