Title: Business Analytics Using Forecasting
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Business Analytics Using Forecasting

Description

Learn how to use data to create powerful business forecasts

Organisations currently collect a vast quantity of data about suppliers, clients, employees, citizens, transactions, and much more. However, many are unaware of the predictive power this ‘big data’ has if anaylsed correctly.

On this course, you’ll learn about forecasting using big data, exploring how it’s used by business as an important component of decision making.

You’ll examine how to define a forecasting task and workflow. You’ll understand how to evaluate forecasting performance, analysing different forecasting methods. Ultimately, you’ll be able to implement your own practical forecasting process.

This course is for anyone who wants to understand how big data can help their business or organisation’s decision-making process. You will need to be familiar with basic statistical methods, including linear regression, as well as have basic knowledge of Excel and R software.



Free to Audit

6 weeks, 3 hours a week

Paid Certificate

Business Analytics Using Forecasting

Affiliate notice

Learn how to use data to create powerful business forecasts

Organisations currently collect a vast quantity of data about suppliers, clients, employees, citizens, transactions, and much more. However, many are unaware of the predictive power this ‘big data’ has if anaylsed correctly.

On this course, you’ll learn about forecasting using big data, exploring how it’s used by business as an important component of decision making.

You’ll examine how to define a forecasting task and workflow. You’ll understand how to evaluate forecasting performance, analysing different forecasting methods. Ultimately, you’ll be able to implement your own practical forecasting process.

This course is for anyone who wants to understand how big data can help their business or organisation’s decision-making process. You will need to be familiar with basic statistical methods, including linear regression, as well as have basic knowledge of Excel and R software.