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Coursera

Master Financial Modeling with Excel & AI: Analyze Forecast

EDUCBA via Coursera

Overview

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By the end of this course, learners will be able to apply core Excel functions, analyze financial datasets, build complete financial statements, evaluate investments using NPV and IRR, perform sensitivity testing, and visualize and audit financial models with confidence. This comprehensive training program equips learners with the practical skills used by financial analysts, investment professionals, and decision-makers across industries. Through step-by-step lessons, learners explore Excel’s essential tools—from lookup functions and data validation to advanced analytical features like Goal Seek, Data Tables, and Scenario Manager. They will also construct fully linked Income Statements, Balance Sheets, and Cash Flow Statements, ensuring a deep understanding of model structure and financial relationships. What makes this course unique is its integration of generative AI principles, real-world modeling workflows, and a progressive learning structure that mirrors professional financial modeling practices. Learners move from foundational Excel skills to advanced scenario analysis and visualization techniques, gaining the ability to build accurate, reliable, and audit-ready models. Whether preparing for a finance career or enhancing analytical capabilities, this course provides the tools needed to interpret data, forecast outcomes, and make informed financial decisions.

Syllabus

  • Excel Foundations for Financial Analysts
    • This module builds a strong foundation in Microsoft Excel for financial analysis, introducing essential interface navigation, core functions, and key statistical and lookup tools used throughout professional financial modeling workflows.
  • Data Handling & Precision Techniques in Excel
    • This module focuses on data integrity, precision control, and criteria-based calculations, equipping learners with the ability to clean, validate, and organize large datasets essential for accurate financial modeling.
  • Time Value of Money & Investment Mathematics
    • This module explores the foundational mathematics behind financial decision-making, including discounting, compounding, loan calculations, and investment appraisal using NPV and IRR.
  • Depreciation, Data Tools & Scenario Analysis
    • This module introduces depreciation methods, Excel’s analytical toolset, and scenario analysis techniques, empowering learners to perform financial simulations and assess outcome variability.
  • Building Full Financial Statements
    • This module guides learners through constructing complete financial statements—including the Income Statement, Balance Sheet, and Cash Flow Statement—while applying best practices and ensuring accurate reconciliation.
  • Advanced Sensitivity Analysis
    • This module provides an in-depth exploration of sensitivity analysis techniques, enabling learners to evaluate risk, test assumptions, and interpret variable impacts using Excel-based analytical tools.
  • Visualization, Auditing & Reporting Excellence
    • This module enhances financial storytelling through data visualization techniques and ensures model reliability using Excel’s auditing tools, preparing learners to deliver clear, accurate financial insights.

Taught by

EDUCBA

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