This course introduces participants to the transformative role of Artificial Intelligence (AI) as a strategic partner in decision-making, productivity, and innovation. Rather than viewing AI as a replacement for human intelligence, participants will learn how to harness it as a collaborative tool—one that enhances critical thinking, streamlines processes, and supports smarter, data-driven choices in everyday life and business.

Through engaging discussions, demonstrations, and real-world applications, learners will explore how AI tools—from chatbots and virtual assistants to predictive analytics and automation—can serve as valuable partners in improving efficiency, creativity, and strategy. The focus is on practical understanding and ethical use, empowering participants to work confidently alongside AI systems.

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AI as Your Strategic Partner- Leveraging Technology for Smarter Decisions

This hands-on course introduces students to the foundational principles and practical applications of healthcare analytics, with a focus on transforming raw data into meaningful insights that support decision-making across the healthcare ecosystem. Students will learn to work with diverse healthcare data—understanding its structure, cleaning and preparing it, conducting analytical procedures, and presenting findings clearly to stakeholders.

In addition to technical training, the course explores the application of analytics in multiple healthcare business functions:

● Marketing: Segment patient populations, optimize outreach, and evaluate campaign effectiveness

● Customer Acquisition & Engagement: Analyze patient behavior, improve access strategies, and personalize service offerings

● Finance: Forecast costs, assess ROI on health programs, and support budgeting with data-driven insights

● Contracting: Support value-based care arrangements, analyze payer performance, and inform contract negotiation using historical data Key Topics:

● Understanding and interpreting healthcare data (claims, clinical, operational, etc.)

● Data wrangling and preparation for analysis

● Exploratory data analysis and data visualization

● Statistical and predictive modeling techniques

● Application of tools: Excel, R, Python, and SPSS

● Communicating insights through dashboards and presentations

● Use case-driven analysis in marketing, finance, and healthcare operations

This is a hybrid non-credit course, starting February 5th.  Please see attached course schedule

Healthcare Analytics Spring Course Schedule