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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 .
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What You'll Learn

  • 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
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Prerequisites

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

Learning Journey

Coming Soon...

1: Introduction to time series analysis

  • Explain what a time series analysis is
  • Describe how time series models work
  • Demonstrate the main principles behind a time series forecasting model

2: Automatic forecasting with the Expert Modeler

  • Examine fit and error
  • Examine unexplained variation
  • Examine how the Expert Modeler chooses the best fitting time series model

3: Measuring model performance

  • Discuss various ways to evaluate model performance
  • Evaluate model performance of an ARIMA model
  • Test a model using a holdout sample

4: Time series regression

  • Use regression to fit a model with trend, seasonality and predictors
  • Handling predictors in time series analysis
  • Detect and adjust the model for autocorrelation
  • Use a regression model to forecast future values

5: Exponential smoothing models

  • Types of exponential smoothing models
  • Create a custom exponential smoothing model
  • Forecast future values with exponential smoothing
  • Validate an exponential smoothing model with future data

6: ARIMA modeling

  • Explain what ARIMA is
  • Learn how to identify ARIMA model types
  • Use sequence charts and autocorrelation plots to manually identify an ARIMA model that fits the data
  • Check your results with the Expert Modeler

This course is not associated with any Certification.

Frequently Asked Questions (FAQs)

  • Why get IBM certified?

    IBM certifications validate your skills and expertise in a wide range of technologies, including hybrid cloud, data & AI, security, IT infrastructure, and business applications.

    These certifications are globally recognized and can help you advance your career, increase your earning potential, and demonstrate your commitment to professional development.

    IBM-certified professionals are in high demand, making them valuable assets to any organization seeking to leverage IBM's innovative solutions.

  • What to expect for the examination?

    IBM offers a variety of certification exams at different levels (Basic, Intermediate, and Advanced) covering various technologies and job roles.

    Exams typically consist of multiple-choice questions and may include scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by IBM from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is IBM certification valid for?

    The validity period of IBM certifications varies. Some certifications, particularly those focused on specific product versions or technologies, may have expiration dates.

    However, many IBM certifications, especially those focused on broader skills or newer technologies, do not have an expiration date.

    Note: Certification requirements and policies may be updated by IBM from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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