Forecasting Training in Sacramento

Audience

This course has been designed for analysts and forecasters within the public sector who are interested in introducing or enhancing forecasting techniques related to 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 predicting future trends based on historical data. It leverages standard tools such as Microsoft Excel and open-source programs like the R project to provide practical, hands-on experience.

The principles covered in this course can be implemented using various software solutions (e.g., SAS, SPSS, Statistica, MINITAB), ensuring that participants are equipped with versatile skills for government applications.

This instructor-led, live training in Sacramento (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.