Schulung - IBM 0A028G - Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1)

  • Live Online oder Präsenz
Download als PDF
DURCHFÜHRUNG MIT TERMIN
Nr.
30125

Dauer
8h00

Preis
800,00 € netto
952,00 € inkl. 19% MwSt.

TERMIN UND ORT NACH ABSPRACHE
On-demand Training
Sind Sie an diesem Thema interessiert?
Unsere Experten entwickeln Ihr individuell angepasstes Seminar!

Teilen Sie dieses Seminar

Overview

This course gets you up and running with a set of procedures for analyzing time series data.  Learn how to forecast using a variety of models, including regression, exponential smoothing, and ARIMA, which take into account different combinations of trend and seasonality. The Expert Modeler features will be covered, which is designed to automatically select the best fitting exponential smoothing or ARIMA model, but you will also learn how to specify your own custom models, and also how to identify ARIMA models yourself using a variety of diagnostic tools such as time plots and autocorrelation plots.

Lesen Sie mehr
Zielgruppe

Wer sollte teilnehmen:

Zielgruppe

Audience

Roles:  Business Analyst, Data Scientist
Specifically, this is an introductory course for:
•  Anyone who is interested in getting up to speed quickly and efficiently using the IBM SPSS Modeler forecasting capabilities

Voraussetzungen

Prerequisites

• Familiarity with the IBM SPSS Modeler environment (creating, editing, opening, and saving streams).
• General knowledge of regression analysis is recommended but not required

Trainingsprogramm

Trainingsprogramm

Course Outline

1: Introduction to time series analysisExplain what a time series analysis isDescribe how time series models workDemonstrate the main principles behind a time series forecasting model2: Automatic forecasting with the Expert ModelerExamine fit and errorExamine unexplained variationExamine how the Expert Modeler chooses the best fitting time series model3: Measuring model performanceDiscuss various ways to evaluate model performanceEvaluate model performance of an ARIMA modelTest a model using a holdout sample4: Time series regressionUse regression to fit a model with trend, seasonality and predictorsHandling predictors in time series analysisDetect and adjust the model for autocorrelationUse a regression model to forecast future values5: Exponential smoothing modelsTypes of exponential smoothing modelsCreate a custom exponential smoothing modelForecast future values with exponential smoothingValidate an exponential smoothing model with future data6: ARIMA modelingExplain what ARIMA isLearn how to identify ARIMA model typesUse sequence charts and autocorrelation plots to manually identify an ARIMA model that fits the dataCheck your results with the Expert Modeler

Objective

Introduction to time series analysis

Automatic forecasting with the Expert Modeler

Measuring model performance

Time series regression

Exponential smoothing models

ARIMA modeling

Schulungsmethode

Schulungsmethode

presentation, discussion, hands-on exercises

Weitere Informationen

Weitere Informationen

Termine und Orte

Sortieren nach:

  • 800,00 € Netto
    Noch freie Plätze
    Jetzt buchen
    Live Online Training
    Live Online Training
  • 800,00 € Netto
    Noch freie Plätze
    Jetzt buchen
    Live Online Training
    Live Online Training
  • 800,00 € Netto
    Noch freie Plätze
    Jetzt buchen
    Live Online Training
    Live Online Training
  • 800,00 € Netto
    Noch freie Plätze
    Jetzt buchen
    Live Online Training
    Live Online Training
Schulung - IBM 0A028G - Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1)