Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5512. Data Science using Python

3.00 credits

Prerequisites: OPIM 5604; MBA, MSBAPM, and MS FinTech students, others with consent. Recommended preparation: Students are expected to know the fundamentals of Python programming language (or another language) through self-study, previous coursework or previous work experience, including topics such as loops, functions, and data structures. Not open to students who have passed OPIM 5894 when offered as Data Science with Python.

Grading Basis: Graded

Data science concepts using the Python programming language. Data wrangling and management using Pandas; visualization using MatPlotLib; fundamentals of matrix algebra and regression, with illustrations using Numpy; machine learning, focusing on fundamental concepts, classification, and information extraction.

Last Refreshed: 04-MAR-24 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2024 13343 Hartford In Person Shankar, Ramesh 712 Reg Th 6:00pm‑9:00pm
43/50 GBLC 505 3.00 Graded
Spring 2024 11409 Hartford Online Asynchronous Wanik, Dave 713 Reg 47/47 No Room Required - Online 3.00 Graded
Spring 2024 13299 Stamford In Person Sim, Jaeung 840 Reg Th 3:00pm‑6:00pm
10/42 DWTN 131 3.00 Graded
Fall 2024 1104 Hartford Online Asynchronous Wanik, Dave 712 Reg 0/55 No Room Required - Online 3.00 Graded
Fall 2024 1105 Hartford In Person Shankar, Ramesh 713 Reg Tu 4:15pm‑9:15pm
0/65 3.00 Graded