Applied Data Science

ISYE-4360

This engineering course is an introduction to the fundamental concepts of machine learning in a lab-like environment. The course is structured in three main parts that mimic the daily workflow of a data scientist in a real organization: (i) data preparation; (ii) machine learning algorithms; and (iii) data visualization and decision making.

4 credits
Cross-listed with:

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Applied Data Science (4c)
  • Rostyslav Korolov
Seats Taken: 0/20
2022
Applied Data Science (4c)
  • Rostyslav Korolov
Seats Taken: 19/20
2021
Applied Data Science (4c)
  • Rostyslav Korolov
Seats Taken: 26/30
2020
Applied Data Science (4c)
  • Mark J Embrechts
Seats Taken: 8/30
2019
2018
2017
2016
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2007