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Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1) (0A028G)
Who should attend
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
Prerequisites
• Familiarity with the IBM SPSS Modeler environment (creating, editing, opening, and saving streams). • General knowledge of regression analysis is recommended but not required
Course Content
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.
Online Training
Duration 1 day
Price (excl. tax)
- 790.— €
Courseware language: English
Currently no online training dates
Classroom Training
Duration 1 day
Price (excl. tax)
- Germany: 790.— €
Catering includes:
- Coffee, Tea, Juice, Water, Soft drinks
- Pastry and Sweets
- Fresh fruits
- Lunch in a nearby restaurant
* Catering information only valid for courses delivered by Fast Lane.
Courseware language: English
Currently no classroom training dates
Currently there are no training dates scheduled for this course.
