On-Demand Webinar

The Data Scientist Learning Journey: Experimentation in Data Science

This webinar series is designed for individuals who want to elevate their data science skills using SAS® and keep pace with the most innovative technology.

The Data Scientist Learning Journey

About the webinar

Experimentation in data science is critical – as important as feature engineering or machine learning.

Hear how SAS data scientist Christa Cody designs experiments that are both practical and actionable. Get inspired to bring testing and learning into your work.

Whether you’re an experienced data scientist or just starting your career, join us to learn the skills needed to conduct your own experiments.

You'll learn how to:

  • Identify a question that can be answered with an experiment.
  • Design a control group.
  • Share the results of an experiment with nontechnical colleagues.

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About the Expert

Catherine Truxillo
Director of Analytical Education, SAS

Catherine Truxillo has written or co-written SAS training courses for advanced statistical methods, including: multivariate statistics, linear and generalized linear mixed models, multilevel models, structural equation models, imputation methods for missing data, statistical process control, design and analysis of experiments, and cluster analysis. She also teaches SAS courses using SAS/IML®, SAS® Enterprise Guide®, SAS® Enterprise Miner, SAS Forecast Studio and JMP® software.

Christa Cody
Data Scientist, SAS

Christa Cody uses data sets, engineering and visualizations to provide insights into the customer educational experience. She also conducts analytical experiments to improve the customer experience. Cody develops and teaches courses and other educational content on machine learning topics, including gradient boosting and reinforcement learning.