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.

• 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.

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

This course addresses SAS Enterprise Miner software.

• why experiment?
• essentials of business experiments