Upcoming RC events around Columbia
Opportunities designed specifically for Columbia's world-class research community.
Our colleagues from Research Data Services at the Columbia Libraries also offer on-demand workshops and class visits on applications for a range of popular tools, including R, Stata, Git. They also run the Columbia Data Club!
RCS Video Library
Check out past sessions!
No results
There are no videos with the provided filters.
Peer Institute & Industry Events/Resources
RCS maintains relationships with our vendor partners and peer institutions to help support research and education, including fellow Ivys and R1 Universities, Intel, NVIDIA, AWS, Globus, SnapGene, GraphPad Prism and more. Let us know if you want us to look into arranging a webinar on a specific topic for our Columbia users!

Join for free software, technical documentation, learning resources, plus peer and domain expert help.
Other key NVIDIA resources
- NVIDIA's Academic Grant Program (apps are open!)!
- NVIDIA research blog: Latest hardware and software releases
- NVIDIA Deep Learning Institute Teaching Kit Program
- Customer stories: Use cases for NVIDIA tools
Online Tutorials
National Student Data Corps Video Library
Watch videos on data science topics based on IBM’s OpenDS4All curriculum, as well as student-created SQL and R educational materials, data science use cases, and more, presented by data enthusiasts from around the world
Cornell Virtual Workshops
Cornell has pioneered an intuitive learning platform with trainings on programming languages (e.g. Python, R, MATLAB), parallel computing, code optimization, and data analysis. The platform supports learning communities around the world, with code examples from national systems such as Frontera, Stampede2, and Jetstream2.
Data Science Resource Repository (DSSR)
Curated set of 1,300+ resources for learners, educators, researchers, career explorers, and professionals that promotes data science literacy.
The Missing Semester of Your CS Education
In 2020, MIT instructors put together a course curriculum to bring students up to speed on "computing ecosystem literacy" to help fill the gaps between the advanced topic instruction that Computer Science students often receive. Topics include Shell Tools and Scripting, Version Control (Git), Debugging and Profiling and more. There also are community translations in 15 languages.