COMPETING THROUGH ANALYTICS
Introduction to business analytics, machine learning and artificial intelligence from a managerial perspective. Covers identifying opportunities to capture data, learning about the current trends in and possibilities with data mining, converting analytics insights into action and evaluating your organization's readiness to compete with analytics.
Prerequisites & course information
Requisites: Graduate/professional standing or declared in graduate Business Exchange program Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Describe different types of analytics and their uses in relation to their industries: descriptive, predictive and prescriptive. Audience: Graduate 2. Articulate the value of different types of structured and unstructured data from varying sources such as social media, CRM systems, IoT sensors, etc. Audience: Graduate 3. Identify the strategic opportunities for improving efficiency, growth, and innovation using data and analytics. Audience: Graduate 4. Explain the new-found challenges related to Ethical AI and Algorithmic Bias. Audience: Graduate Learning Outcomes: 1. Describe different types of analytics and their uses in relation to their industries: descriptive, predictive and prescriptive. Audience: Graduate 2. Articulate the value of different types of structured and unstructured data from varying sources such as social media, CRM systems, IoT sensors, etc. Audience: Graduate 3. Identify the strategic opportunities for improving efficiency, growth, and innovation using data and analytics. Audience: Graduate 4. Explain the new-found challenges related to Ethical AI and Algorithmic Bias. Audience: Graduate
Sources
- Course catalogue ↗2026-2027