Workshops designed to empower educators.

The Health Analytics webinar will cover how to evaluate various statistical methods used in real-world effectiveness studies. These methods will help address questions such as: Which medicine is more effective for a medical disorder? what is the quality of life years for a patient having a healthcare problem? what is the rate of insurance claims? what is the incidence of disease? and so on. This workshop will provide an overview of the Analytics Life Cycle for Healthcare and Life Sciences.

This workshop aims to introduce all-new topic of Generative AI. The workshop will cover how to define Generative AI and where does it fits in the AI landscape, the types of Generative AI and its industry applications. It also explores the fascinating world of AI creativity from synthetic data generation to digital twin technology to large language models including some examples of ChatGPT and Google BARD, and converses the AI challenge of balancing risk and reward.

Market analytics is crucial for businesses and organizations as it involves the systematic analysis of market data to gain insights into market trends, customer behavior, and competitive landscapes. Many businesses use a combination of inbound and outbound strategies in their overall marketing mix. The webinar will cover the overview of inbound and out bound campaigns and demonstrate the generic process of Marketing Automation.

The webinar emphasizes on how SAS can complement and integrate with open source tools like Python and R. During the session we will discuss the potential challenges and considerations when integrating SAS with open-source technologies. This webinar provides introduction for experienced R and Python users who want to apply their existing skills and extend them to the SAS environment. Emphasis is placed on programming and not statistical theory or interpretation.

A typical organization loses an estimated 5 percent of its yearly revenue to fraud. The Fraud Analytics webinar will show you the end-to-end techniques used for fraud detection and prevention. It will provide an insight on data analytics and machine learning capabilities to monitor payments and nonmonetary transactions, as well as events for anti-money laundering.

This webinar provides an overview of the Risk Modeling, key concepts, terminology, and base functionality that are integral to visual risk Modeling. It also explores the Applications of credit scoring in various industries. It will also give an overview of the Risk Modeling workspaces that are used for implementing models and monitoring their performance.