Sushovan Majhi
Teaching
The George Washington University Department of Data Science

A pedagogy that runs from foundations to topological methods, taught at four institutions across three countries: foundations of data science, statistics, machine learning, computer science, and topological data analysis.

Currently teaching, Spring 2026

  • Algorithm Design (DATS 6001) Graduate · GWU Course website  ·  password-protected; contact for access.
  • Data Science Capstone (DATS 4001) Undergraduate · GWU

At The George Washington University

  • Introduction to Data Mining (DATS 6103) Graduate · Fall 2023–current
  • Linear Algebra for Data Science Graduate · Summer 2024 Course website  ·  password-protected; contact for access.
  • Computer Science Foundations (DATS 6450) Graduate · Fall 2023

Earlier

  • Topological Data Analysis Graduate · NIT Sikkim · Fall 2023 Course website.
  • Statistics for Data Science (MIDS 203) Graduate · UC Berkeley · 2020–2023
  • Undergraduate Statistics for Business (MATH 1140) Undergraduate · Tulane · Summer 2019
  • Linear Algebra, Complex Analysis, Real Analysis Christ University · MES College · GATE-IIT, Bangalore · 2011–2013

See the teaching statement for the philosophy. For self-contained tutorials in data science and topology, see the tutorials page.