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SAS(R) Visual Statistics in SAS(R) Viya(R): Interactive Model Building

  • Tuition USD $1,450
  • Reviews star_rate star_rate star_rate star_rate star_half 3061 Ratings
  • Course Code SVSO35
  • Duration 2 days
  • Available Formats Classroom, Virtual

This course introduces SAS Visual Statistics for building predictive models in an interactive, exploratory way. Exploratory model fitting is a critical step in modeling big data.

The classroom and Live Web course is appropriate for users of SAS Visual Analytics in SAS Viya 3.5. In e-learning, there is a course for users of SAS Visual Analytics in SAS Viya 3.5, and there is also a course for users of SAS Visual Analytics in SAS Viya 2020.1.

Skills Gained

  • Perform statistical analysis of data of any size.
  • Create a report with pages.
  • Determine useful preferences and settings.
  • Create segments, or clusters, of input variables.
  • Perform regression and logistic regression modeling.
  • Perform decision tree modeling.
  • Perform stratified model fitting.
  • Perform model validation.
  • Compare models.
  • Generate score code.

Who Can Benefit

  • Predictive modelers, business analysts, and data scientists who want to take advantage of SAS Visual Statistics for highly interactive, rapid model fitting

Prerequisites

  • Before attending this course, you should have an understanding of regression and logistic regression analysis for predictive modeling. You can gain this knowledge from the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course. You should also have experience using SAS Visual Analytics, which you can gain from the SAS® Visual Analytics 1 for SAS® Viya®: Basics course.

Course Details

Introduction to SAS Visual Statistics

  • Managing reports and pages.
  • SAS Viya architecture.

Cluster Segmentation

  • Segmentation concepts.
  • Cluster analysis.

Models with Continuous Targets

  • Linear regression models.
  • Generalized linear models.
  • Generalized additive models.
  • Model validation.

Models with Categorical Targets

  • Logistic regression.
  • Modeling with group-by variables.
  • Decision trees.
  • Decision trees in SAS Visual Statistics.

Model Comparison and Scoring

  • Comparing models.
  • Scoring.

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.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

I thought the course was informative and the tools to go over the material were very nice.

Great facility with good selection of drinks and small snacks. Equipment also worked flawlessly.

It would be better if the classroom had two power point screens so the instructor could have two screens shown to the class at the same time to reduce confusion switching back and forth

The course and labs were well organized and performed flawlessly. They made sure that all the information was timely relayed to the students.

The course is well organized, and I would recommend it. The cadence can be faster.

3 options available

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  • Jun 28, 2021 Jul 1, 2021 (4 days)
    Location
    Virtual
    Language
    English
    Time
    1:00 PM 4:30 PM EST
    Enroll
    Enroll
  • Aug 17, 2021 Aug 20, 2021 (4 days)
    Location
    Virtual
    Language
    English
    Time
    1:00 PM 4:30 PM EST
    Enroll
    Enroll
  • Dec 7, 2021 Dec 10, 2021 (4 days)
    Location
    Virtual
    Language
    English
    Time
    1:00 PM 4:30 PM EST
    Enroll
    Enroll
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