Forecasting Training in Milan

Audience

Designed for analysts and forecasters seeking to establish or enhance their forecasting capabilities, this course covers applications such as sales forecasting, economic forecasting, technology forecasting, supply chain management, and demand or supply forecasting.

Description

This course guides participants through a series of methodologies, frameworks, and algorithms that are essential for making future predictions based on historical data.

It utilizes standard tools such as Microsoft Excel or various Open Source programs, with a notable focus on the R project.

The principles taught in this course can be applied using any compatible software (e.g., SAS, SPSS, Statistica, MINITAB, etc.).

This instructor-led, live training in Milan (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.
• Utilize the ‘forecast’ package to generate accurate forecasting models.
• Automate forecasting workflows for business and research applications.