Forecasting with R Training Course

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Course Code

frcr

Duration Duration

14 hours (usually 2 days including breaks)

Requirements Requirements

Basic general maths and statistics skills

Programming in any languages recommended but not necessary

Overview Overview

This course allows delegate to fully automate the process of forecasting with R

Course Outline 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

Guaranteed to run even with a single delegate!
Public Classroom Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
From £2050
(54)
Private Classroom Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
Private Remote Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet
From £1750
Request quote

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom Private Remote
1 £2050 £1750
2 £1315 £1150
3 £1070 £950
4 £948 £850
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Upcoming Courses

VenueCourse DateCourse Price [Remote / Classroom]
London, BarbicanWed, 2016-12-28 09:30£1750 / £2350
OxfordWed, 2016-12-28 09:30£1750 / £2400
Manchester, King StreetWed, 2016-12-28 09:30£1750 / £2500
Exeter - The SenateThu, 2016-12-29 09:30£1750 / £2350
Aberdeen - Berry StreetTue, 2017-01-03 09:30£1750 / £2410

Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Applied Machine Learning London, Barbican Thu, 2017-03-30 09:30 £1782 / £2382

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