- Introduction to time series analysis
- Automatic forecasting with the Expert Modeler
- Measuring model performance
- Time series regression
- Exponential smoothing models
- ARIMA modeling
Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1) Schulung
This course gets you up and running with a set of procedures for analyzing time series data
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.
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Inhalte IBM Time Series Schulung
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Diese IBM Time Series Schulung führen wir auch bei dir im Unternehmen als individualisierte IBM Time Series-Firmenschulung durch.
Entscheidungshelfer IBM Time Series Schulung
Zielgruppe
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
- Familiarity with the IBM SPSS Modeler environment (creating, editing, opening, and saving streams).
- General knowledge of regression analysis is recommended but not required
Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1) Schulung
This course gets you up and running with a set of procedures for analyzing time series data
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.
Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1) Schulung
Kurs-ID:
5754
Hersteller-ID:
0A028G