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; open only to MBA and MSBAPM 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: 16-SEP-19 05.20.32.275623 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Grading Basis Notes
Fall 2019 16812 Hartford In Person Shankar, Ramesh B12 Reg Tu 4:30pm‑9:30pm
Tu 4:30pm‑9:30pm
Tu 4:30pm‑9:30pm
Tu 4:30pm‑9:30pm
Tu 4:30pm‑9:30pm
Tu 4:30pm‑9:30pm
Tu 4:30pm‑9:30pm
27/46 GBLC 605 Graded *** LAST CLASS MEETING WILL BE HELD ON 12/10**