Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1) SPVC

  • Tuition USD $350
  • Reviews star_rate star_rate star_rate star_rate star_half 839 Ratings
  • Course Code 0E028G-SPVC
  • Duration 1 day
  • Available Formats Self Paced
This course is available in other formats
Instructor-Led Classroom & Virtual
Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1) (0A028G)

This IBM Self-Paced Virtual Class (SPVC) includes:
- PDF course guide available to attendee during and after course
- Lab environment where students can work through demonstrations and exercises at their own pace

Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.

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.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

Skills Gained

Please refer to course overview

Who Can Benefit

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 Details

Course Outline

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

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

The course material and labs were written in very easy to understand format. This is the 1st time that all my labs worked flawlessly. Kudos

I really enjoy the subject matter presented in this course. The instructor was very well verse and presented the material in a easy to understand and professional way... Great job!

I really enjoyed the course. It was well designed given that it was online. I would recommend that the higher level courses be taken on-site, but this course was very thorough for those looking to get started with an AWS Certification.

Very good platform iMVP. I did Architecting on AWS from home and the quality of the material and the labs. Very committed and experienced instructor too.

Didin't give 5 stars because I found the material was too much for 3 days. Too many new concepts, products and strategies to learn in such a little time. I'll have to check all the material and test everything again to be sure all this knowledge is not lost!

Fantastic instructor, good overview of content and ability to answer questions

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