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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.


Spring 2022 Industrial Engineering and Operations Research E4523 section 001
DATA ANALYTICS

Call Number 13451
Day & Time
Location
TR 2:40pm-3:55pm
329 Pupin Laboratories
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 71 students (75 max) as of 8:03AM Saturday, June 25, 2022
Subject Industrial Engineering and Operations Research
Number E4523
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20221IEOR4523E001

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SIS update 06/25/22 08:03    web update 06/25/22 17:34