Online Forecasting Training in Taiwan

Audience

This course is designed for analysts and forecasters who wish to introduce or enhance their forecasting capabilities, including areas such as sales forecasting, economic projections, technological trends, supply chain management, and demand or supply prediction.

Description

The course leads participants through a variety of methodologies, frameworks, and algorithms that are essential for making informed predictions based on historical data.

It utilizes common tools such as Microsoft Excel or various open-source programs, particularly the R project.

The principles taught in this course can be applied using any software platform, including SAS, SPSS, Statistica, MINITAB, and others.

This instructor-led, live training in Taiwan (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.