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Forecasting Using Model Studio in SAS(R) Viya(R) 3.4

  • Tuition USD $1,300
  • Reviews star_rate star_rate star_rate star_rate star_half 486 Ratings
  • Course Code FVVF8I
  • Duration 2 days
  • Available Formats Classroom

This course provides a hands-on tour of the forecasting functionality in Model Studio, a component of SAS Viya. The course begins by showing how to load the data into memory and visualize the time series data to be modeled. Attribute variables are introduced and implemented in the visualization. The course then covers the essentials of using pipelines for generating forecasts and selecting champion pipelines in a project. It also teaches you how to incorporate large-scale forecasting practices into the forecasting project. These include the creation of data hierarchies, forecast reconciliation, overrides, and best practices associated with forecast model selection.

Skills Gained

  • Automatically create and fit custom forecast models using structured analytic workflows or pipelines.
  • Visualize modeling data using attribute variables.
  • Refine forecast models to improve forecast accuracy.
  • Apply overrides-generated forecasts.
  • Generate forecast data sets for deployment.
  • Build and share custom pipelines for large-scale forecasting analyses.

Who Can Benefit

  • Forecasters and analysts in any industry, including retail, financial services, manufacturing, and pharmaceuticals

Prerequisites

  • Before attending this course, you should be familiar with applied forecasting concepts. You do not need formal training in statistics to benefit from this course. Programming experience is also not required.

Course Details

Introduction and Data Visualization

  • Overview of SAS Home.
  • Creating a forecasting project and loading the data.
  • Visualizing the modeling data using attribute variables.

Pipeline Essentials

  • Basic modeling with pipelines.
  • Pipeline templates and pipeline comparison.
  • Accuracy statistics and forecast model selection.
  • Families of models supported.

Hierarchical Forecasting

  • Hierarchical forecasting.
  • Time series data creation and forecast reconciliation.
  • Combined models.
  • Honest assessment.

Post-forecasting Functionality

  • Overrides.
  • Exporting generated tables.
  • Adjustments to statistical forecasting.

In-Line Code Access and Overview (Appendix)

  • Code overview.

Accommodating Event Variables in a Model Studio Project (Appendix)

  • Adding event variables in the TSMODEL procedure.

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.

Lunchtime?

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.

I took the AWS training class. Instructor was fantastic and the labs were fun and easy to understand. I had no issue! :)

AZ-300 course experience was good . Eylem Uysal was very good, the best instructor and i had really good experience attending course and classes with Eylem.

The courses are very in-depth and useful to get a good idea of everything and get going from there.

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

Attended a Power BI class in McLean with this company. The instructor (Mike Staves) was very good and attentive to the groups' learning needs. The facility was very good and the staff was more than accommodating.

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