Training

SAS® Academy for Data Science

Don't just think like a data scientist. Become one.

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Learn at your own pace from the leader in analytics.

Analytical talent is in high demand, so learning data science skills can open doors to new career opportunities. SAS offers nearly 300 hours of e-learning content to help you build a foundation for data science success.

Choose a Credential 

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SAS® Certified Big Data
Professional

Learn to manage big data, focusing on data quality and visual data exploration for advanced analytics and communication skills.

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SAS® Certified Advanced Analytics Professional

Learn analytical modeling, machine learning, experimentation, forecasting and optimization.

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SAS® Certified
Data Scientist

Learn it all. This program includes all coursework from both the big data and advanced analytics programs.

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Program Features

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Complete Toolset

Learn using SAS, R, Python, Pig, Hive and Hadoop.

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Hands-On Learning

Get full access to SAS software to practice what you learn. 

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Globally Recognized Credentials

Earn a certification with tailored training that helps prepare you for each exam.

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Comprehensive Training

Learn big data, advanced analytics and data science your way at your own pace.

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Real-World Case Studies

Enhance your learning with practical application based on actual case studies.

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SAS Expertise

Ask questions, find guidance and stay on track with SAS communities.

Chantal Achterberg: Olympic medalist turned SAS® Certified Data Scientist

Chantal Achterberg is a two-time Olympic Medalist and a SAS Certified Data Scientist. Get inspired with this short look at Chantal's path from Olympian, to student of the SAS Academy for Data Science, to her dream job.

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Credential Comparison

 

TopicsSAS® Certified Big Data Professional 
SAS® Certified Advanced Analytics Professional
SAS® Certified Data Scientist
Critical SAS programming skills.
✓ ✓
Exploring and visualizing data.
✓ ✓
Working with Hadoop, Hive, Pig and SAS.
✓ ✓
Fundamentals of statistics and analytics.
✓ ✓
Improving data quality for reporting and analytics.
✓ ✓
Accessing, transforming and manipulating data.
✓ ✓
Essential communication skills.
✓ ✓
Machine learning and predictive modeling techniques. 
 ✓✓
Working with distributed and in-memory big data sets.
 ✓✓
Pattern detection and experimentation in business.
 ✓✓
Optimization techniques.
 ✓✓
Time series forecasting.
 ✓✓
Integrating SAS with R and Python. ✓✓
 Get Big Data CertificationGet Advanced Analytic CertificationGet Data Scientist Certification
The experiences I’ve had, the things I’ve been able to learn, the opportunities for my future, it just seems like sky’s the limit. Clayton Russell SAS Academy for Data Science graduate


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