Foundations of Business Intelligence Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This course provides a practical introduction to the foundations of business intelligence (BI), designed to equip learners with the skills to plan, document, and communicate BI projects effectively. Through real-world scenarios and hands-on activities, you'll explore the BI lifecycle, key tools, and stakeholder engagement strategies. The course spans approximately 14 hours across four modules, culminating in a project that synthesizes insights into stakeholder-ready deliverables. Ideal for those pursuing roles in BI analysis, engineering, or data-driven decision-making.

Module 1: Data-Driven Results Through BI

Estimated time: 6 hours

  • Define the role and responsibilities of BI professionals
  • Distinguish business intelligence from general data analytics
  • Understand the stages of the BI process lifecycle
  • Explore common BI toolsets and platforms
  • Build foundational BI documentation and project roadmaps

Module 2: BI Tools & Techniques

Estimated time: 2 hours

  • Identify key BI tools for rapid monitoring and reporting
  • Engage stakeholders through collaboration frameworks
  • Map the end-to-end BI project pipeline
  • Set up a professional portfolio for career development
  • Create a mentorship plan for growth in BI roles

Module 3: Context Is Crucial for Insights

Estimated time: 3 hours

  • Analyze data limitations including velocity and accuracy
  • Evaluate timeliness versus contextual relevance of data
  • Design meaningful metrics aligned with business goals
  • Apply context-driven thinking using case studies (e.g., Cyclistic, Google Fiber)
  • Refine BI project documents based on real-world constraints

Module 4: End-of-Course BI Project

Estimated time: 3 hours

  • Plan a BI project using stakeholder requirements
  • Analyze a real-world business scenario
  • Synthesize findings into a stakeholder-ready format
  • Submit a comprehensive BI requirements document
  • Present actionable insights supported by contextual analysis

Prerequisites

  • Familiarity with basic data concepts
  • Understanding of business operations and decision-making
  • Interest in data-driven roles or analytics careers

What You'll Be Able to Do After

  • Define the role of BI professionals and differentiate BI from data analytics
  • Navigate the BI project lifecycle with structured documentation
  • Select and justify metrics based on business context
  • Communicate effectively with stakeholders using BI frameworks
  • Produce a stakeholder-ready BI project plan grounded in real-world scenarios
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