Introduction to Forecasting in Business

Learn how to use forecasting for better business decisions to help with budgeting, future growth, and success with this online course from Deakin University.

Duration

1 week

Weekly study

3 hours

100% online

How it works

Unlimited subscription

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Accreditation

More info

Established

1974

Location

Melbourne, Australia

World ranking

Source: QS World University Rankings 2021

Learn how to solve business problems with forecasting

Whether you need to predict annual sales growth, budgets, or website traffic, forecasting is a powerful decision-making tool for any business.

On this one-week course from Deakin University, you’ll gain insights into how forecasting can contribute to business success.

You’ll learn about some basic types of forecasting and how they can be used in a variety of situations. With this knowledge, you’ll learn how you can take the next steps to apply forecasting to your work context.

Examine the components of a time series

You’ll start by exploring the concept of time series forecasting and how it can be used in business and economics.

You’ll unpack the different components of a time series, learning how they can be modelled in a forecasting task.

Follow the key steps of forecasting

With an introduction to the uses of forecasting, you’ll learn a basic process for forecasting tasks.

You’ll also explore some conditions and considerations for forecasting, and some basic methods behind more sophisticated modelling techniques.

Learn from the experts at Deakin University

Throughout the course, you’ll be guided by specialists at Deakin Business School as well as industry experts. By the end, you’ll have the insights and knowledge of forecasting to make better business decisions.

To further your skills, you can join our microcredential Forecasting in Business and Economics here.

What topics will you cover?

  • Basic concepts and uses of time series forecasting
  • Key steps in forecasting tasks
  • Conditions and considerations fore forecasting
  • Basic forecasting methods

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