DSCoV: Data Science, Computing, and Visualization workshops

DSCoV workshops are lunchtime introductions to basic data science and programming skills and tools, offered by and for Brown staff, faculty, and students (with occasional presenters from outside Brown). Hone your research skills, become a Kaggle Master, start a tech company—these workshops are designed to get you started. Please contact us with ideas for future topics. 

  • When: Fridays, 12-1pm (Please RSVP by Wednesday before each workshop)
  • Where: Carney Institute Innovation Hub, 164 Angell Street, 4th floor (above the bookstore)
  • Who: Open to all members of the Brown community; led by Brown faculty, staff, and students; limited to 40 participants

Spring 2020 Workshops 

(Schedule is subject to change: Check our Events page, where you can also register to ensure yourself a spot.)

February 14: Exploratory Data Analysis with Pandas in Python, part 1, Andras Zsom

February 28: Exploratory Data Analysis with Pandas in Python, part 2, Andras Zsom 

March 6: Intro to PyTorch, Minju Jung

March 13: CI and Beyond with GitHub Actions, Mary McGrath

March 20: Overview of Machine Learning, Andras Zsom

March 27: Scientific Visualization in Unity Engine, Camilo Diaz


List of previous topics.

Workshop materials here. Please let us know if there are topics you'd like to see offered (or offered again) or if you would like to be a workshop presenter. 

Sponsored by the Data Science Initiative, the Center for Computation and Visualization, the Brown Libraries, and the Initiative for Computation in Brains and Minds.