Live Webinar

The Data Scientist Learning Journey:
2021 An ‘Unprecedented’ Year in Review

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.

Join us as we look back on our learning journey, how we can use everything we’ve learned to become better data scientists and how COVID-19 has changed the way we work and learn.

Dec. 15 • 11 a.m. ET • Cost: Complimentary

About the webinar

We know you’ve heard every “unprecedented” tag line out there, so let’s just leave it at: It’s been quite the year.

Things are different and challenging but that hasn’t stopped us from learning, growing and pressing forward on our data science journey.

Join us in this webinar as we cover everything we’ve learned over the past year.

From telling stories with data to AI and machine learning and everything in between, our data science expert, Cat Truxillo, will catch you up on anything you’ve missed.

She’ll also share how the lessons in this data science journey all fit together.

Why attend?

  • Get a summary of each Data Scientist Learning Journey webinar to date.
  • Learn how they all fit together, including key points for data scientists and aspiring data scientists.
  • Find out what’s coming up in our 2022 webinar series.

Have a SAS profile? To complete this form automatically Sign In

*
*
*
*
 
 

All personal information will be handled in accordance with the SAS Privacy Statement.

 
  Yes, I would like to receive occasional emails from SAS Institute Inc. and its affiliates about SAS products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.
 
 

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.