There is a new version of this course. Please see Experimentation in Data Science.
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.
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.
This course addresses SAS Enterprise Miner software.
