Hands-on session with SAS® Visual Analytics® on the SAS Platform
Thursday, December 6th, 2018
Join SAS and SAS Partner, Cadeon, for a FREE hands-on experience of the latest approachable analytics 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.
Facilitated by Visual Analytics experts, this 3- hour workshop is designed to teach you to uncover hidden opportunities, identify key relationships and make more precise decisions to drive success.
In this hands-on workshop, you will learn how to:
- Go from data to insight with the SAS Platform
- Workshop Scenarios: Data Preparation, Data Exploration, Location Analytics, Analytic Visualization, Interactive Modeling & Reporting
- Implement dashboards, reporting and analytics – all from a single interface.
- Go directly from reporting to exploration and model creation.
- Drive an analytics culture and support all user requirements.
SAS Calgary Office
Suite 850, 517 10th Avenue SW
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.
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.
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.
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.