The Data Scientist Learning Journey: From Student to Professional | SAS

Live Webinar

The Data Scientist Learning Journey:
From Student to Professional

This webinar series is designed for individuals thinking about enhancing their data science skills using SAS® or looking to enter the field of data science.

July 29 • 11 a.m. ET • Cost: Complimentary

About the webinar

The future of AI lies in the ingenuity and creativity of people, which is why SAS has spent decades helping students gain the skills they need to pursue careers in data science and analytics.

Join this webinar to hear how one of our top presenters went from being a student to working in academic research and then to full-time corporate analytics work.

We will also discuss the resources available to students and professionals to start on their own learning journey.

During the webinar, we’ll discuss:

  • How one analytics professional went from a student to her career.
  • Challenges and tips for transitioning between careers or focus areas.
  • How to determine if a data science career is right for you.

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About the Experts


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
Analytical Training Consultant, 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.

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