Live Webinar

The Data Scientist Learning Journey: What I Wish I’d Known on My Way to Becoming a Data Scientist

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

July 23 • 11 a.m. ET | 3 p.m. GMT • Cost: Complimentary

About the webinar

Harvard Business Review dubbed data scientist as the “sexiest job of the 21st century” and with good reason.

In this ever-moving world of big data and analytics, every business needs data scientists who can apply analytics to make sense and create value from the data they have.

Data science allows organizations to gain insights and make better, faster decisions.

So what does day-to-day life really look like for a data scientist?

Join SAS data scientist Haidar Altaie and Director of Analytical Education Catherine Truxillo as they delve into what data scientists do, as well as factors to consider for those looking to enter this growing field.

During the webinar, we'll:

  • Hear real-life personal experiences from a renowned data scientist.
  • Learn more about the job beyond the algorithms.
  • Learn three key takeaways that will be applicable for anyone wanting to pursue a career in data science.

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About the Experts

Speaker 1

Haidar Altaie
Data Scientist, SAS

Haidar Altaie is passionate about helping customers understand the potential of analytics by using artificial intelligence and machine learning techniques to solve complex business issues. Altaie earned a degree in mathematics and statistics.

Speaker 2

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.

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