This course explores the essentials of experimentation in data science, why experiments are central to any data science efforts, and how to design efficient and effective experiments.

The e-learning format of this course includes Virtual Lab time to practice.

Learn how to

• Define common terminology in designed experiments.
• Describe the benefits of multifactor experiments.
• Differentiate between the impact of a model and the impact of the action taken from that model.
• Fit incremental response models to evaluate the unique contribution of a marketing message, action, intervention, or process change on outcomes.

Who should attend

Data scientists, business analysts, market researchers, statisticians, and other who want to use experimentation and incremental response models in business

Formats available	Duration
Classroom:	1 day
Live Web Classroom:	2 half-day session(s)	System Requirements
e-Learning:	7 hours/180 day license	System Requirements

This course addresses SAS Enterprise Miner software.

Experimentation in Business

• Why experiment?
• Essentials of business experiments.

Incremental Response Models