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.

build and compare data mining models

Who should attend

Business analysts and data analysts who want to practice the self-service data preparation capabilities of SAS and the ease of use of advanced analytics in exploring and visualizing the data.

Formats available	Duration
Classroom:	4.0 days

Attendees should have a solid business domain knowledge, be familiar with working with data, and have a willingness to learn new methods for analyzing the data. No programming knowledge is required.

This course addresses SAS Visual Analytics software.

• the Era of Abundance
• Big Data explained
• data analysis overview

• examining data distributions
• obtaining and interpreting sample statistics
• examining data distributions graphically
• using exploratory data analysis
• producing correlations
• fitting a simple linear regression model

• exploring SAS Visual Analytics concepts
• using the SAS Visual Analytics home page
• discussing the course environment and scenario

• examining the Visual Analytics Explorer
• selecting data and defining data item properties
• creating visualizations
• enhancing visualizations with analytics
• interacting with visualizations and explorations

• exploring SAS Visual Data Builder
• creating simple queries

• importing data using Visual Data Builder
• creating calculated columns and filtering data
• creating advanced queries

• accessing user-defined formats

• using the explorer and designer to import data
• using the explorer and designer to create calculated columns

• understanding segmentation
• using cluster analysis

• managing projects and models
• using linear regression models
• using generalized linear models

• using logistic regression
• using decision trees

• comparing models
• scoring models