Business Analytics with Excel: Elementary to Advanced Course Syllabus

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

Overview (80-120 words) describing structure and time commitment.

Module 1: Introduction to Excel: Basics and Best Practices

Estimated time: 2 hours

  • Understanding Excel interface and navigation
  • Entering and formatting data effectively
  • Applying basic formulas and functions
  • Organizing spreadsheets for analysis

Module 2: Linear and Integer Optimization

Estimated time: 4 hours

  • Introduction to optimization in business contexts
  • Setting up linear programming models in Excel
  • Using Solver for linear optimization
  • Applying integer constraints to real-world problems

Module 3: Decision Analysis

Estimated time: 4 hours

  • Frameworks for decision-making under uncertainty
  • Building decision trees in Excel
  • Evaluating alternatives using expected value
  • Analyzing outcomes and risk trade-offs

Module 4: Risk Modeling

Estimated time: 4 hours

  • Understanding risk in business decisions
  • Performing sensitivity analysis in Excel
  • Using data tables for scenario modeling
  • Simulating outcomes with probabilistic inputs

Module 5: Business Modeling and Data Analysis

Estimated time: 4 hours

  • Developing models for business processes
  • Integrating data into analytical frameworks
  • Creating dynamic dashboards with pivot tables and charts
  • Deriving strategic insights from data

Module 6: Final Project

Estimated time: 5 hours

  • Apply analytical techniques to a real-world business case
  • Build optimization and decision models using Excel
  • Present data-driven recommendations and insights

Prerequisites

  • Familiarity with basic computer operations
  • No prior Excel experience required
  • Interest in data analysis and business decision-making

What You'll Be Able to Do After

  • Use Excel to analyze and visualize business data effectively
  • Apply optimization techniques to solve resource allocation problems
  • Model and evaluate decisions under uncertainty
  • Conduct risk analysis and scenario planning using Excel tools
  • Develop comprehensive business models for strategic insights
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