Forecasting with R Training Course
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'
- accuracy
- Acf
- arfima
- Arima
- arima.errors
- auto.arima
- bats
- BoxCox
- BoxCox.lambda
- croston
- CV
- dm.test
- dshw
- ets
- fitted.Arima
- forecast
- forecast.Arima
- forecast.bats
- forecast.ets
- forecast.HoltWinters
- forecast.lm
- forecast.stl
- forecast.StructTS
- gas
- gold
- logLik.ets
- ma
- meanf
- monthdays
- msts
- na.interp
- naive
- ndiffs
- nnetar
- plot.bats
- plot.ets
- plot.forecast
- rwf
- seasadj
- seasonaldummy
- seasonplot
- ses
- simulate.ets
- sindexf
- splinef
- subset.ts
- taylor
- tbats
- thetaf
- tsdisplay
- tslm
- wineind
- woolyrnq
Summary and Next Steps
Requirements
- 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
Open Training Courses require 5+ participants.
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Testimonials (5)
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
Well thought out and high grade planning materials.
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Course - Forecasting with R
he is patient
Abdul De kock - Vodacom
Course - Forecasting with R
I genuinely liked his knowledge and practical examples.
Irina Tulgara
Course - Forecasting with R
A lot of knowledge - theoretical and practical.
Anna Alechno
Course - Forecasting with R
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