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.
