Forecasting Training in Varna

Target Audience

This course is designed for analysts and forecasters who wish to introduce or enhance their forecasting capabilities in areas 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 valuable for predicting future outcomes based on historical data.

It utilizes standard tools such as Microsoft Excel or open-source software (notably the R project).

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

This instructor-led, live training in Varna (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.