Spring 2025 Industrial Engineering and Operations Research E4523 section 001

DATA ANALYTICS

Call Number 14622
Day & Time
Location
TR 4:10pm-5:25pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Uday Menon
Type LECTURE
Method of Instruction In-Person
Course Description

IEOR students only; priority to MSBA students. Survey tools available in Python for getting, cleaning, and analyzing data. Obtain data from files (csv, html, json, xml) and databases (Mysql, PostgreSQL, NoSQL), cover the rudiments of data cleaning, and examine data analysis, machine learning, and data visualization packages (NumPy, pandas, Scikit-lern, bokeh) available in Python. Brief overview of natural language processing, network analysis, and big data tools available in Python. Contains a group project component that will require students to gather, store, and analyze a data set of their choosing.

Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 0 students (80 max) as of 6:06PM Thursday, January 2, 2025
Subject Industrial Engineering and Operations Research
Number E4523
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Graduate
Note Requires co-requisite of IEOR E4501
Section key 20251IEOR4523E001