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.

communicate 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:	5.0 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 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.

• Overview Data Science, data challenges, and analytical techniques
• Business objective versus analytical objective

• Intuitive techniques (bar chart, histogram, line chart, and geographical map for location analysis)
• Analytical techniques (heatmap, box plot, correlation, forecasting, path analysis, text mining, and clustering)

• Introduction to modeling essentials (rare events, train and validate, imputation)
• Elementary supervised models (decision tree, logistic regression)
• Model comparison, model assessment, and model interpretation

• Effective data visualization
• Dashboard creation