# 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:
ISYE-6360 Applied Data Science
Prereqs:
one of:
ENGR-2600 Modeling & Analysis Uncertaint MATP-4600 Prob Theory & Applicatio
and
CSCI-1100 Computer Science I

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
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Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2024 |  |  | Applied Data Science (4c) Rostyslav Korolov Seats Taken: 25/25
2023 |  |  | Applied Data Science (4c) Rostyslav Korolov Seats Taken: 15/15
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
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