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
SAS Products Covered
SAS Enterprise Miner
Course Outline
Experimentation in Business
Why experiment?
Essentials of business experiments.Incremental Response Modelsnull
The hands-on lab is preconfigured to support this course and will not support hands-on practice for all your enrolled courses.
Hands-On Lab Reservation System
When you are planning your study time, keep in mind that the virtual lab takes 30-45 minutes to start
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