Experimentation In Data Science

by SAS Institute Inc Claim Listing

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.

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img Duration

7 Hours

Course Details

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.

 

Who Should Attend

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

  • Central Branch

    20 ANSON ROAD, Central

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