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Experience the
SAS Platform!

Explore the latest capabilities SAS has to offer! 

Wednesday, May 22nd, 2019

Zencos

Join Zencos and SAS for a FREE hands-on experience of the latest capabilities from SAS! Now everyone can become a data scientist and learn to discover, share and collaborate on insights from data.

Users of all skill levels can visually explore data and create analytically driven visualizations while tapping into powerful in-memory technologies for faster computations and deeper discoveries. This easy-to-use, self-service data visualization and analytics software can handle all your data, putting approachable and deep analytics in the hands of all users.

Zencos and SAS Visual Analytics experts will be facilitating two, different three hour workshops.  These workshops are designed to teach you to uncover hidden opportunities, identify key relationships and make more precise decisions to drive success. The morning session will focus on Visual Analytics and Statistic, while the afternoon session will dive a bit deeper into Visual Data Mining and Machine Learning.  Feel free to register for just one of the sessions that interests you, or both!

Morning Workshop: SAS Visual Analytics and Visual Statistics:

In this hands-on workshop, you will learn how to:

  • Implement dashboards, reporting and analytics – all from a single interface.
  • Go directly from reporting to exploration and model creation.
  • Present your data in the most compelling way.
  • Drive an analytics culture and support all user requirements.

Afternoon Workshop: SAS Visual Data Mining and Machine Learning:

In this hands-on workshop, you will learn how to:

  • Go from data to insight with the SAS Platform
  • Data Exploration
  • Investigating the Modeling Data
  • Model Building, Discussion and Assessment
  • Building, Fitting and Comparing Predictive Models Using Pipelines in Model Studio
  • Model Management and Scoring
  • Managing a Champion Model and Scoring

Please Register for the session which you would like to attend.  If you would like to attend both the Visual Analytics Session and the Visual Data Mining and Machine Learning Session, please ensure that you register for both!

VA/VS
Morning Session:

  • Registration & Breakfast
    8:30 a.m. - 9:00 a.m.
  • Interactive Workshop
    9:00 a.m. - 12:00 p.m.

VDMML
Afternoon Session:

  • Registration & Lunch
    12:30 p.m.- 1:00 p.m.
  • Interactive Workshop
    1:00 p.m. - 3:30 p.m.
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Global Knowledge Training Centre
777 Fort Street,
Victoria, BC V8W 1G9

Personas

Is this hands-on workshop right for you?
This session is right for you if you are one of the following users in your organisation. 

SAS® Visual Analytics - Interactive
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The Business Analyst

You are a user who understands the business context of underlying data & is focused on answering questions. You provide guidance and support to stakeholders by building reports and interpreting results.


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The Citizen Data Scientist

You are a user who extends the business analyst work with data preparation, exploration and visualization. You also explore the use of advanced analytic modeling techniques to solve a business problem using wizards and prebuilt logic.

SAS® Visual Statistics  - demo

SAS® Visual Statistics - logistics regression
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The Data Scientist

You perform complex exploratory analysis, descriptive segmentation and predictive modeling. You also investigate advanced analytic techniques and machine learning, and identify and prepare data needed for model development.

If you can see yourself in these user groups or want to step into these roles, then this session is for you.

Hurry and reserve you place now, as seats are limited!

We appreciate your interest. Due to an overwhelming response, this event is full. If you would like to be added to the waiting list, please email Nina Connell.

 
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 Morning Session
 Afternoon Session
 Both sessions
 
  Yes, I would like to receive occasional emails from SAS Institute Inc., its affiliates, and third parties whom SAS has a business relationship with about SAS products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.
 
 

Questions/Concerns

Nina Connell (403-802-4481 or nina.connell@sas.com)

 

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