Advanced Business Analytics: Excel Optimization & Simulation

Johns Hopkins develops spreadsheet modeling into sensitivity analysis, integer programming, transportation problems and simulation. This is an analytical continuation rather than a beginner tour of the Excel interface. It suits learners comparing deterministic optimization with simulation, particularly when uncertainty and constraints affect how a business decision should be modeled.

What you will learn

• Build and assess an Excel model.
• Explain sensitivity analysis and optimization constraints.
• Compare optimization with simulation approaches.

Who this suits

Coursera labels the course mixed level. Detailed prerequisites are not specified; preview the mathematical and spreadsheet-modeling expectations.

Before you enroll

Check the Excel edition, operating system and required features before enrolling. Use fictional or permitted data, retain the original file and inspect formulas and source ranges before trusting a chart or dashboard.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Set up a small fictional allocation problem. Explain which quantities are decisions, which are constraints and how uncertainty would change the model.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

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