Using SAS® Viya® REST APIs with Python and R (multi-version + virtual lab)
In this course, you learn to use the R and Python APIs to take control of SAS Cloud Analytic Services (CAS) and submit actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment, analyze data, and create predictive models on CAS using familiar open source functionality via the SWAT (SAS Wrapper for Analytics Transfer) package.The e-learning version of this course provides access to SAS Viya for Learners, which enables students to use the software to complete the practices.
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Who should attendData scientists with open source experience who want to take advantage of SAS Viya distributed analytics
Students should have experience working with data, creating predictive models, and writing open source programs. Some SAS experience is recommended.
This course addresses SAS Viya software.