A workshop on learning the basic concepts of python, with an eye towards becoming a data scientist.

When and Where?

This workshop runs multiple times.

10AM IST, Saturday Feb 12th, 2022  Register

10AM IST, Saturday Feb 26th, 2022  Register

10AM IST, Saturday Mar 12th, 2022  Register

Details and Outcomes

We’ll put together code to make nice time-series plots of unemployment rates in Python. In the process of doing this, you’ll be introduced to key aspects of python you need to do data science: variables, conditionals, lists, dictionaries, pandas dataframes, numpy arrays, and matplotlib plotting.

At the end of this workshop, you will be able to tackle beginner data science projects in Python. A homework will exercise the skills you learned. We’ll discuss the homework on our community forum.


This workshop is taught by the amazing Univ.AI Teaching Assistants (TAs). The workshop has been designed by:

Dr. Rahul Dave

Rahul is co-founder of Univ.AI. He was previously a lecturer at Harvard University. He was on the original team for Harvard’s famous Data Science course, cs109, and has taught machine learning, statistics, and AI courses, both at Harvard and at multiple conferences and workshops. Some of his more popular offerings have been the Data Scientist Training for Librarians workshops in Boston and Copenhagen, Machine Learning for Suits at the Open Data Science Conference, continuing versions of cs109, and the am207 course on Bayesian Statistics and Generative Models at Harvard. Rahul is an accomplished computational scientist with a strong programming background and a veteran cosmologist. His Ph.D. thesis in cosmology and astrophysics at the University of Pennsylvania involved both high performance computing and bayesian statistics, and was one of the first works introducing dark energy. His subsequent work in Solar System astronomy and large scale astronomy databases at the ADS took him in the direction of machine learning and AI. Rahul is passionate about teaching, and a big believer in exposing big, ‘researchy’ ideas early on, to students. Follow him at @rahuldave on Twitter.