Resources for Students

Resources for Faculty and Staff

R and Python Workshops Offered by ITS-Research Services

Workshop 1: Introduction to Data Analysis Using R

  • What this is: a slow-paced introduction to the R programming language, with a focus on concepts that will serve as building blocks for data analysis tasks.
  • Who this is for: learners who have no experience with R and no experience with computer programming. A basic understanding of general descriptive statistics may be helpful.
  • When this will occur: 2 progressive sessions. The second session builds on the first one. Each session will be 2:00 – 4:00 pm Central time.
    • Tuesday, October 3rd, 2023
    • Thursday, October 5th, 2023
  • Click here to view the workshop agenda and register by 10 am on Monday, October 2nd, 2023.

Note: The workshops are not recorded. If you are interested in learning R and Python but are unable to attend our workshops, please see the workshop FAQs for a list of free learning resources.

Workshop 2: Python for Data Analysis: Python Fundamentals
  • What this is: a slow-paced introduction to the Python programming language for data analysis, with an emphasis on the module pandas.
  • Who this is for: learners who have no experience with Python and no experience with computer programming.
  • When this will take place: 2 progressive sessions. The second session builds on the first one. Each session will be 2:00 – 4:00 pm Central time.
    • Tuesday, October 31st, 2023
    • Thursday, November 2nd, 2023
  • Click here to view the workshop agenda and register by 10 am on Friday, October 27th, 2023.

Note: The workshops are not recorded. If you are interested in learning R and Python but are unable to attend our workshops, please see the workshop FAQs for a list of free learning resources.

Workshop 3: Interactive Data Visualization with Plotly in R
  • What this is: an overview of creating interactive data visualization using the package Plotly in R. This workshop builds on the “Introduction to Data Analysis Using R” workshop. Topics will be covered at a faster pace than the introductory-level workshop.
  • Who this is for: learners who have experience with R and are familiar with the RStudio interface, including the script editor, Console, Environment, Files, and Plots tabs.
  • When this will take place: 2 progressive sessions. The second session builds on the first one. Each session will be 2:00 – 4:00 pm Central time.
    • Tuesday, November 14th, 2023
    • Thursday, November 16th, 2023
  • Click here to view the workshop agenda and register by 10 am on Friday, November 10th, 2023.

Note: The workshops are not recorded. If you are interested in learning R and Python but are unable to attend our workshops, please see the workshop FAQs for a list of free learning resources.

Workshop 4: Python for Data Analysis: Python Fundamentals (repeat)
  • This is a repeat of the workshop in October 2023
  • Registration will open in Spring 2024

Note: The workshops are not recorded. If you are interested in learning R and Python but are unable to attend our workshops, please see the workshop FAQs for a list of free learning resources.

Workshop 5: Introduction to Data Analysis Using R (repeat)
  • This is a repeat of the workshop in October 2023
  • Registration will open in Spring 2024

Note: The workshops are not recorded. If you are interested in learning R and Python but are unable to attend our workshops, please see the workshop FAQs for a list of free learning resources.

Workshop 6: Python for Data Analysis: Machine Learning Using scikit-learn with Python
  • Registration will open in Spring 2024

Note: The workshops are not recorded. If you are interested in learning R and Python but are unable to attend our workshops, please see the workshop FAQs for a list of free learning resources.