Forecasting Training in Durham

Audience

This course has been developed for analysts and forecasters within the public sector who are looking to introduce or enhance forecasting methods related to sales, economic trends, technology advancements, supply chain management, and demand or supply projections.

Description

This course provides a structured guide through various methodologies, frameworks, and algorithms that are essential for predicting future outcomes based on historical data. It utilizes standard tools such as Microsoft Excel and open-source programs like the R project. The principles covered in this course can be applied using any software, including SAS, SPSS, Statistica, and MINITAB, ensuring flexibility and adaptability for government use.

This instructor-led, live training in Durham (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 for government.

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.
• Utilize the ‘forecast’ package to generate accurate forecasting models.
• Automate forecasting workflows for business and research applications.