Principles for Forecasting in Times of Uncertainty

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Paid

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Level

Intermediate

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Free

Last updated on June 23, 2026 3:33 pm

Learn the significance of forecasting in times of uncertainty by studying various agile forecasting models and relative forecasting.

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This course will teach you the fundamentals of forecasting and data analysis during uncertain times. You will learn about various agile forecasting techniques and tools that you can use to help with forecasting. We will also discuss different types of data distribution, including the normal distribution and the Poisson distribution method. You will learn to calculate data in uncertain times and carry out data analysis using various techniques.

What You Will Learn In This Free Course

  • Explain the need for forecasting…
  • List the major problems with the use…
  • Describe the concept of agile foreca…
  • Describe the Scrum agile method and …
  • Explain the need for forecasting
  • List the major problems with the use of traditional forecasting techniques
  • Describe the concept of agile forecasting
  • Describe the Scrum agile method and its benefits
  • Summarize the roles of a scrum master, a product owner, and the planning team in the execution of the scrum method
  • Discuss the significance of sensitivity analysis
  • Differentiate between the normal data distribution model and the Poisson distribution model
  • Agile Forecasting Principles and Techniques

    This module will teach you about the various forecasting tools and techniques available. You will comprehend the significance of forecasting and the distinctions between traditional and agile forecasting. With the help of simulations and examples, various Excel functions that can be used to forecast will also be explained.

    Course assessment

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      Principles for Forecasting in Times of Uncertainty
      Principles for Forecasting in Times of Uncertainty
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