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Welcome to ISM 6405 Advanced Business Analytics.

This course provides graduate students with an advanced, hands-on foundation in business analytics methods, tools, and strategic applications. Students will develop mastery in descriptive, predictive, and prescriptive analytics while simultaneously grappling with the profound ways that generative AI, large language models (LLMs), and AI-powered agents are restructuring every layer of the analytics pipeline.

1Course Content

Chapter 2: Data Mining

Predictive modeling, classification, clustering.

Chapter 3: Text and Web Mining

NLP, scraping, sentiment analysis.

Chapter 4: Data Visualization

Dashboards, charting, storytelling + Midterm Activity (building a business with analytics).

Chapter 5: The Impact of AI on Business Analytics

How AI has disrupted traditional analytics workflows.

Chapter 6: Agentic AI and the Impact on Business Analytics

Autonomous agents, multi-agent systems in business.

Chapter 7: Voice Agents

Conversational AI, voice interfaces for data.

Chapter 8: Vibe Coding

Natural language programming, code generation via LLMs.

Chapter 9: The Future of Analytics

Future trends + Final Project (presentation pitch).

Quiz Answer Guide

Answers to all chapter quizzes.

Appendix: Grading

Course grading breakdown.