Online Forecasting Training in New Zealand

Audience

This course has been developed for analysts and forecasters seeking to introduce or enhance forecasting capabilities in areas such as sales forecasting, economic forecasting, technology forecasting, supply chain management, and demand or supply planning.

Description

This course guides participants through a range of methodologies, frameworks, and algorithms that are valuable when selecting approaches to predict future outcomes based on historical data.

It utilises standard tools such as Microsoft Excel or certain open-source programs (notably the R Project).

The principles covered in this course can be implemented using any software (for example, SAS, SPSS, Statistica, MINITAB, etc.).

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.

By the end of this training, participants will be able to:

• Understand the fundamentals of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Utilise the 'forecast' package to generate accurate forecasting models.
• Automate forecasting workflows for business and research applications.