95-854 Predictive Analytics with TABLEAU

6 units, Carnegie Mellon University

The main purpose of this course is to provide students with a basic understanding of supervised and unsupervised machine learning models. This course will face students with real examples and real-world data, as an increasing number of organizations nowadays collect data to support their decision-making process. Learning from data can enable us to better: evaluate sales decisions, make a medical diagnosis, monitor the reliability of IT systems, p market segmentation, improve the success of marketing campaigns, and much, much more. NOTE: This course is primarily intended and designed for MSIT students. MSIT students will be given priority in registration.

Prerequisites: none listed

Offered: Spring 2027, Spring 2026

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