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 auto correlation plots .

Skills Covered

  • Introduction to time series analysis
  • Automatic forecasting with the Expert Modeler
  • Measuring model performance
  • Time series regression
  • Exponential smoothing models
  • ARIMA modeling

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

Course Curriculum

Prerequisites

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

Download Syllabus

Course Modules

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Training Options

Intake: Available Upon Request
Duration: 1 Day
Guaranteed: TBC
Modality: ILT
Price:

RM2,170.00Enroll Now

Exam:
Intake: Available Upon Request
Duration: 1 Day
Guaranteed: TBC
Modality: VILT
Price:

RM2,170.00Enroll Now

Exam:
Intake: On-demand Learning
Duration: 1 Day
Guaranteed: TBC
Modality: SPVC
Price:

RM1,890.00Enroll Now

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Exam & Certification

This course is not associated with any Certification.

Training & Certification Guide

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