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BUS 9430

Business Analytic Project Mgmt · 3 credits · Fall 2026

Requirements

Prerequisite: CIS 9660 and CIS 9340 and 9650

About this course

This course teaches the complete lifecycle of how organizations turn data into better decisions. It focuses on how to formulate business problems, find necessary data, translate business problems into specific data mining tasks, apply statistical and machine learning tools to answer questions, and then evaluate, deploy, and monitor the models. Emphasis is on the organizational context of this process: where data comes from, who owns it, who needs the information, and the decisions impacted by the effort. The CRoss Industry Standard Process for Data Mining (CRISP-DM) model will be used to describe the data science life

Seat status as of Sep 28, 10:49 PM ET. Seats change fast, so a class shown as open may be full by now. Watch a full class to be emailed the moment it opens.

Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means

PMA-LEC Regular
Mon · 5:50 PM - 7:05 PM
B - Vert 12-135
Joseph SommerNo Rate My Professors rating found
Hybrid AsynchronousOpen
URA-LEC Regular
Thu · 6:05 PM - 9:00 PM
Online-Synchronous
David MessineoChill Rank 4 of 5: Busy?★ 1.9(29)Difficulty 2.1/5 · 16% would take again
Online SynchronousOpen