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Globally-recognized credentials
Earn a certification with tailored training that helps prepare you for each exam.
Comprehensive training
Learn data curation, advanced programming, advanced analytics, AI and machine learning your way at your own pace.
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How to become a
SAS® Certified Data Scientist
- Data Curation
- Advanced Programming
- Advanced Analytics
- AI & Machine Learning
Want to become a data scientist? We offer four professional-level credentials to get you there. Earning one credential can launch a career - but a combination helps you earn a credential that could transform your future.
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Certified Level:
Advanced Analytics
Expand your analytical skill set by learning the latest advanced analytics technologies, such as machine learning and predictive modeling. You'll gain the ability to solve critical business challenges across every domain – and, if you combine Advanced Analytics with Data Curation or Advanced Programming, you can earn a certification as a data scientist.
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Certified Level:
AI & Machine Learning -
HOW-TO GUIDE
Earn Your Data Science Certification
Choose from two paths to become a SAS Certified Data Scientist. Start with Data Curation Professional or Advanced Programming Professional. Then take either Advanced Analytics or AI & Machine Learning Professional to complete the coursework.
Explore programs in the SAS Academy for Data Science
Now Available as Self-Paced eLearning
Analytical talent is in high demand. Learn at your own pace from the leader in analytics. With nearly 300 hours of learning content available, the SAS Academy for Data Science offers a comprehensive foundation for data science success.
On-Demand Webinar
Become a SAS Certified Data Scientist with Self-Paced eLearning
There's never been a better time to learn data science skills
from the analytics leader.
63%
The number of decision-makers who don’t have enough employees with AI and machine learning skills. 54% use these technologies already, creating a big opportunity for those with data science skills (Coleman Parkes).
11.5 million
The number of data science jobs is expected to grow 28% over the next several years, creating millions of new opportunities for data scientists (U.S. Bureau of Labor Statistics).