Analytics made approachable and comprehensible. After this class you will be able to perform the main data-related tasks for the Citizen Data Scientist using the point-and-click capabilities of SAS Visual Analytics: data access and data manipulation, data exploration using analytics, and building predictive models.
Learn how to
recognize descriptive, predictive, and prescriptive analyticsdistinguish between various analytical methods and their applicationsformulate data need and data structure for certain analytical methodsbuild and compare data mining modelsinterpret the results of a data mining modelcommunicate about analytical results
Who should attend
Business analysts and data analysts who want to know more about the concepts of analytics and data science.
Formats available | Standard Duration (duration can vary, see event schedule for details) | | |
Classroom: |
4.0 days | | |
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Attendees should have a solid business domain knowledge, be familiar with working with data, and have a willingness to learn new methods for analyzing data. No programming knowledge is required. Basic statistical and mathematical knowledge is helpful.This course is delivered on the SAS Viya platform.
This course addresses SAS Visual Analytics software.
