Babson: Analytics for Decision Making Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course provides a practical, business-focused introduction to analytics for decision making, designed for learners at all levels. The curriculum spans six modules, combining foundational concepts, real-world case studies, and a capstone project. With a total time commitment of approximately 14–17 hours, the course emphasizes strategic thinking, data-driven decision frameworks, and practical application in business contexts. Ideal for students, managers, and professionals, it balances conceptual learning with guided project work to build analytical competency applicable across industries.
Module 1: Introduction & Foundations
Estimated time: 4 hours
- Introduction to key concepts in analytics and decision making
- Overview of foundational principles and terminology
- Discussion of best practices and industry standards
- Guided project work with instructor feedback
Module 2: Core Concepts & Theory
Estimated time: 2 hours
- Introduction to core analytics concepts and theoretical frameworks
- Review of commonly used tools and models in business analytics
- Hands-on exercises applying core analytical techniques
- Case study analysis with real-world examples
Module 3: Practical Application & Techniques
Estimated time: 4 hours
- Introduction to practical application of analytics in business settings
- Review of tools and frameworks for real-world implementation
- Case study analysis focusing on decision-making scenarios
- Guided project work with instructor feedback
Module 4: Advanced Topics & Methods
Estimated time: 2 hours
- Introduction to advanced analytics topics and methodologies
- Hands-on exercises applying advanced analytical techniques
- Exploration of emerging trends and strategic implications
Module 5: Case Studies & Real-World Projects
Estimated time: 3 hours
- Case study analysis with real-world business examples
- Interactive lab: Building practical analytical solutions
- Hands-on exercises applying case study techniques
- Guided project work with instructor feedback
Module 6: Final Project
Estimated time: 3 hours
- Capstone project integrating key course concepts
- Case study analysis demonstrating decision-making skills
- Submission of project with instructor feedback
Prerequisites
- Familiarity with basic business concepts
- No prior analytics experience required
- Access to a computer and internet for course materials
What You'll Be Able to Do After
- Apply core analytics concepts to real-world business decisions
- Analyze case studies to extract actionable insights
- Use analytical frameworks to support strategic thinking
- Communicate data-driven recommendations effectively
- Build a foundational portfolio project in decision analytics