Data Club

Research Data Services Data Club

Data Club

Data Club, provided by Research Data Services, is for those who work with data and are interested in learning more about data analysis, management, and other aspects of the data life cycle. Open to beginners and experts, the club is a space to experiment with new libraries or techniques, usually in Python or R.


Data Club is getting ready for 2019. Please stay tuned or email data@library.columbia.edu for more information.


Data Club Meetings

Consultation & help
  • Data Club also welcomes members of the Columbia community who work with data and are interested to learn more about data analysis, management, and other aspects of the data life cycle at our biweekly meetings. 
  • Open to beginners and experts, Data Club meetings provide a space to experiment with new libraries or techniques.
  • Typically we will be diving deep with either Python or R.
  • Attendees should bring laptops.
  • Please see the Workshops Schedule for more information.

Intro to Data (with Python or R)

Consultation & help
  • Data Club hosts a biweekly workshop, "Intro to Data (with Python or R)," aimed at complete beginners in data management, Python, and R.
  • Each workshop uses one language (R or Python) to introduce fundamental concepts around data management, including typing, filtering, mapping, and reducing.
  • Attendees should bring laptops, as the workshop begins with installing either R Studio or Anaconda.
  • Please see the Workshops Schedule for more information.

Data Club on GitHub

Consultation & help

We try to put all of our Data Club materials online in our two GitHub repositories. Clone them to keep up to date with our progress.

Additional Python Resources

Consultation & help

In addition to the Python resources provided by Clio, we suggest the following:

Additional R Resources

Consultation & help

In addition to the R resources provided by Clio, we suggest the following:

Additional Data Management Resources

Consultation & help

Here are some additional data management resources: