Thank you for sending your enquiry! One of our team member will contact you shortly.
Thank you for sending your booking! One of our team member will contact you shortly.
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
Requirements
Basic general maths and statistics skills
Programming in any languages recommended but not necessary
Testimonials
A lot of knowldege - theoretical and practical
Anna Alechno
Forecasting with R Course
Related Courses
Statistical Analysis using SPSS
21 hours
Talent Acquisition Analytics
14 hours
R for Data Analysis and Research
7 hours
Analysing Financial Data in Excel
14 hours
Excel For Statistical Data Analysis
14 hours
Statistics Level 1
14 hours
Statistics Level 2
28 hours
Statistics for Researchers
35 hours