Statistical Software Mini-Courses

This program is provided by Biostatistics, Epidemiology, and Research Design (BERD) in collaboration with the Department of Biostatistics and Training and Education (TRANSFORM).

Overview

The self-guided online mini-course is intended to help learners get started with R and R Studio in three-parts. The mini-course is hosted on Canvas, a course management system that helps faciliate online education, where learners are able to progress through modules at their own pace.

Topics include data manipulation and visualization, descriptive statistics, and basic analyses.

• Part 1 will cover importing data, examining data attributes, and manipulating data (creating new variables, stacking vs. merging data sets, etc.).
• Part 2 will cover data visualization using versatile R plotting functions.
• Part 3 will cover descriptive statistics and basic statistical analyses (chi-squared tests, t-tests, regression, etc.). Some basic statistical knowledge is required to get the most out of Part 3.

Eligibility

The mini-course is open to the Columbia University community. Non-affiliates may request registration but may be waitlisted.

Cost

There is no cost to attend the online mini-course.

Register

To register for the online mini course, click here. 

Cite it, Submit it, Share it!

If your research has benefited from one or more Irving Institute resources, please remember to:

• Cite our CTSA grant, UL1 TR001873, in any relevant publications, abstracts, chapters, and/or posters.
• Submit your publications to PubMed Central (PMC) for compliance with the NIH Public Access Policy.
• Share your research updates with us by sending an email to: irving_institute@cumc.columbia.edu