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 * load data from different formats

• prepare data for analysis
• analyse data using effective data visualization
• 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
: 5.00 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.

INTRODUCTION TO BIG DATA AND ANALYTICS

Introduction to Data Science

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

Introduction to Statistics

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

PREPARING FOR ANALYSIS

Getting Started with SAS Visual Analytics

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

Using the SAS Visual Analytics Explorer

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

Examining SAS Visual Data Builder

• exploring SAS Visual Data Builder
• creating simple queries

Creating Complex Queries in SAS Visual Data Builder

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

Advanced Topics for SAS Visual Data Builder

• accessing user-defined formats

Using the Explorer and Designer to Load Data

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

ANALYTICAL DATA VISUALIZATION AND MODELING DATA

Cluster Segmentation

• understanding segmentation
• using cluster analysis

Models with Continuous Targets

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

Models with Categorical Targets

• using logistic regression
• using decision trees

Model Comparison and Assessment

• comparing models
• scoring models

CASE STUDY

CDSVA