Forecasting with R

Course Code: frcr

Duration: 14 hours

Prerequisites:

Basic general maths and statistics skills
Programming in any language recommended but not necessary

Audience

Data analysts
Business intelligence professionals
Statisticians and researchers involved in forecasting projects

Overview:

Forecasting with R is designed to help participants automate forecasting processes using statistical models and the R programming language. The course covers key forecasting techniques, including ARIMA models, exponential smoothing, and the use of the powerful ‘forecast’ package in R.

This instructor-led, live training (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.

Format of the Course

Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.

Course Customization Options

To request a customized training for this course, please contact us to arrange.

Course Outline:

Forecasting with R

Introduction to Forecasting
Exponential Smoothing
ARIMA models
The forecast package

Package 'forecast'

Summary and Next Steps

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