Start with the foundations
Learn key concepts and analytical approaches at your own pace.
LEARNING & RESOURCES / METHOD & METRIC
Learn the ideas.
Build the skills.
Explore learning resources for data analytics, SAS software and machine learning, with guides, tutorials and teaching materials to support your learning journey.
Find a starting point, understand the tools available and build practical knowledge with official SAS educational resources.
Explore learning paths
Practise with software
Explore SAS tools and develop hands-on experience.
Find teaching resources
Access materials for classroom use and independent study.
LEARNING PATHWAYS
Find your path
into analytics.
Whether you are new to data analytics or looking to develop more advanced skills, there are different ways to learn. Use these pathways to explore key topics, practise with analytical tools and find resources for further study.
A useful starting point is to understand how data is collected, prepared and interpreted. From there, investigate programming, statistical modelling and machine learning according to the questions you want to answer.
- 01
Understand the fundamentals
Start with core ideas in data analytics, statistics and machine learning. Build a solid foundation before moving to tools and applied work.
Key terms: A dataset is a collection of related records; a variable is a characteristic measured or recorded in those records.
- 02
Work with data
Learn how to access, prepare and explore data using visual and programming approaches. Pay attention to data quality, structure and appropriate methods.
- 03
Build and evaluate models
Explore modelling techniques, from traditional statistical methods to modern machine learning approaches. Compare results and consider model limitations.
- 04
Go further with SAS
Apply your knowledge with SAS software, including SAS Viya for Learners and SAS Viya Workbench for Learners, and explore the accompanying academic resources.
PRACTICAL TOOLS
Tools for learning
by doing.
Gain hands-on experience with SAS software in academic environments. SAS Viya for Learners and SAS Viya Workbench for Learners provide different ways to work with data, explore analytical methods and develop practical skills.
These tools support your learning journey, from exploring data visually to writing code and developing analytical models.
EXPLORE OUR CONTENT
Resources for
every stage.
Browse guides, tutorials, documentation and learning materials to support your study and teaching.
Guides & tutorials
Explore concepts in data analytics, SAS software and machine learning through clear explanations and practical examples.
Explore guides
Documentation & software
Find official SAS documentation, technical information and academic software resources.
View documentation
Workshops & learning events
Explore SAS learning opportunities, including training materials, webinars and educational events when available.
Explore learning opportunitiesFOR STUDENTS
For students.
Explore learning resources designed for students, including software options, tutorials and materials to help you build practical skills in data analytics, SAS programming and machine learning.
SAS Skill Builder for Students includes learning opportunities organised around analytical topics and practical study. Review academic software access directly with SAS.
- Data visualisation and exploration
- SAS programming and analytical methods
- Artificial intelligence and machine learning
FOR EDUCATORS
For educators.
Find teaching resources, classroom materials and guidance for using SAS software in your courses. Explore SAS academic resources and discover tools to support your teaching and students.
Official resources can include teaching materials, classroom activities and software information. The selection and access conditions are maintained by SAS.
- Teaching kits and course materials
- Classroom activities and examples
- SAS Educator Portal and support
OFFICIAL LEARNING RESOURCES
Continue learning with SAS.
Visit the official SAS website for detailed information on academic software, learning programs, training and other available resources.