IBM

FP&A Modeling: Variance Analysis & Forecasting

IBM

FP&A Modeling: Variance Analysis & Forecasting

LearnQuest Network

Instructor: LearnQuest Network

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
Flexible schedule
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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Structure Excel models with separated inputs, calculations, and outputs plus built-in error checks.

  • Calculate budget-to-actual variances and decompose them into price, volume, and mix components.

  • Build variance bridges and waterfall charts that turn the numbers into a story leaders can act on.

  • Produce and validate rolling forecasts using moving averages and error metrics like MAE and MAPE.

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Recently updated!

July 2026

Assessments

4 assignments¹

AI Graded see disclaimer
Taught in English

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This course is part of the IBM Financial Planning and Analysis (FP&A) with AI Skills Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from IBM

There are 4 modules in this course

Learn to build financial models in Excel that are clean, auditable, and ready for real planning work. This module teaches financial modeling and spreadsheet design from the ground up: separating inputs, calculations, and outputs, designing models outputs-first, and applying modeling standards and documentation that make a workbook easy to review and hand off. Learners add error-checking and balance formulas that flag broken logic instantly, then prepare a model to connect to a governed data source for clean, repeatable refresh cycles. Covering financial model structure, spreadsheet best practices, model governance, audit-readiness, data integrity, and version control, the module builds the practical Excel skills that support budgeting, forecasting, and variance analysis — and a single source of truth that finance and business teams can trust.

What's included

5 videos1 reading1 assignment

Variance analysis is the core FP&A skill of explaining performance against budget — and this module teaches it from the ground up. Learn to calculate budget-to-actual variances in both dollar and percentage terms, apply favorable and unfavorable sign conventions, and set materiality thresholds that separate signal from noise across revenue, cost, and margin. Then decompose total variances into price, volume, and mix on a flexible-budget basis to reveal the operational drivers behind the numbers, and classify each variance by cause to decide what to do next. Ideal for early- and mid-career financial analysts, accountants, and business finance partners building practical budget-versus-actuals, management reporting, and financial planning and analysis skills.

What's included

7 videos2 readings1 assignment

Advanced Variance Techniques teaches finance professionals how to turn budget-to-actual variances into a clear performance story that leadership can act on. This module covers variance bridges and waterfall charts, materiality thresholds and management by exception, variance classification, and root cause analysis linked to corrective action. Learners practice building a reconciling bridge from a variance table, prioritizing material variances, separating driver, timing, and model variances, and documenting cause, impact, and corrective actions. Built for FP&A analysts, financial analysts, finance business partners, controllers, and finance managers who handle monthly and quarterly performance reviews, board and investor reporting, margin and EBITDA analysis, and variance commentary. Build the financial planning, analysis, reporting, and data-visualization skills that support confident decisions.

What's included

6 videos2 readings1 assignment

Forecasting Models teaches finance professionals how to project what comes next and prove the projection is sound. This module covers statistical and judgmental forecasting methods, time-series techniques including the naïve forecast, moving averages, and exponential smoothing, forecast error metrics such as MAE, RMSE, and MAPE, and rolling forecasts that update automatically as new actuals arrive. Learner's practice selecting a forecasting method for their data, benchmarking it against a simple baseline, building a driver-based rolling forecast on a constant horizon, validating accuracy through back-testing, and applying judgmental overrides with discipline. Built for FP&A analysts, financial analysts, finance business partners, controllers, and finance managers who handle demand forecasting, revenue forecasting, continuous planning, budgeting, and forecast accuracy. Build the financial planning, forecasting, and analysis skills that support confident decisions.

What's included

6 videos1 reading1 assignment

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LearnQuest Network
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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.