On-Demand Webinar

The Data Scientist Learning Journey: From the Lab to the Job

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

Join us to learn about one student’s path to becoming a data scientist.

Dee Mckoy, a PhD candidate at North Carolina Agriculture and Technical State University and current SAS intern, will share his academic journey.

If you’re considering a career in data science, join the webinar to gain practical tips, hear his best advice for success and ask your questions.

Why attend?

  • Hear one doctoral candidate’s academic journey to becoming a data scientist.
  • Learn about some of the major decision points along the way.
  • Find out what his top three pieces of advice are for someone considering graduate studies in data science.

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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.

Dee Mckoy
Statistical Training and Technical Services Intern, SAS

Dee Mckoy earned his bachelor’s degree in mathematics at Saint Augustine’s University and his master’s in applied mathematics at Elizabeth City State University. He is currently entering his fourth year as a PhD candidate at North Carolina Agriculture and Technical State University, with a focus in computer vision and deep learning models. Mckoy also works at SAS as a Statistical Training and Technical Services Intern. He has worked on various projects, such as serving as an e-learning instructor for new course development, testing data migration, and technical blog writing. He enjoys building deep learning and machine learning models.