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KnowledgeCity

Forecasting Techniques and Scenario Analysis

Build accurate forecasts by testing models and analyzing risk.
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Course: On-Demand
Provider :  KnowledgeCity  5 Lessons ·  16m  in English 

Course Description

In this Forecasting Techniques and Scenario Analysis course, you'll learn how to apply time series and regression models to financial data. We'll also examine scenario and sensitivity analysis to evaluate risk and uncertainty. Because the right tools matter, we'll compare forecasting platforms and their key features. Together, these skills help you turn raw data into forecasts you can trust.

We'll explore how time series models reveal trends, seasonality, and cyclicity, and how regression shows the relationship between variables. You'll learn how scenario analysis compares outcomes and how sensitivity analysis tests one input at a time. We'll also examine tools such as Excel, Power BI, and Anaplan to match features with your planning needs. By the end, you'll know how to build structured forecasts that align with your organization's financial goals.

Learning Objectives:

• Apply time series and regression models to data

• Interpret trend and seasonality in time series

• Conduct scenario analysis to compare possible outcomes

• Use sensitivity analysis to test key assumptions

• Compare forecasting tools to match planning needs

What You'll Learn

  • Apply time series and regression models to financial data
  • Interpret trend and seasonality in time series
  • Conduct scenario analysis to compare possible outcomes
  • Use sensitivity analysis to test key assumptions one input at a time
  • Compare forecasting tools such as Excel, Power BI, and Anaplan to match planning needs
  • Build structured forecasts that align with your organization's financial goals

Key Takeaways

  • Time series models reveal trends, seasonality, and cyclicity in data, while regression shows the relationship between variables.
  • Scenario analysis compares possible outcomes, whereas sensitivity analysis tests one input at a time to evaluate risk and uncertainty.
  • Choosing the right forecasting platform means matching tool features — as with Excel, Power BI, and Anaplan — to your planning needs.
  • Combining forecasting models with scenario and sensitivity analysis helps turn raw data into forecasts you can trust.

Frequently Asked Questions

What does this course cover?

It covers applying time series and regression models to financial data, using scenario and sensitivity analysis to evaluate risk and uncertainty, and comparing forecasting platforms such as Excel, Power BI, and Anaplan to match features with your planning needs.

What skills will I gain from this course?

You will build skills in forecasting, scenario planning, and sensitivity analysis, learning to interpret trends and seasonality, compare outcomes across scenarios, test key assumptions, and build structured forecasts aligned with your organization's financial goals.

What is the difference between scenario analysis and sensitivity analysis in this course?

The course explains that scenario analysis compares possible outcomes, while sensitivity analysis tests one input at a time to check key assumptions.

What lessons are included in the course?

The course includes: Introduction; Time Series and Regression Forecasting; Test Your Knowledge; Using Scenarios and Sensitivity to Navigate Risk; and Forecasting Tools and Software.

Which forecasting tools does the course examine?

The course examines tools such as Excel, Power BI, and Anaplan, comparing their key features so you can match them to your planning needs.