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.

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.

Aprenda a

• Use the R and Python APIs in SAS Viya.
• Submit CAS actions from Jupyter Notebook.
• Move data between the client and the server.
• Manage, alter, and prepare data on the CAS server.
• Create machine learning and deep learning models on the CAS server.
• Use open source syntax to wrap up CAS actions with functions and loops.

A quién va dirigido

Data scientists with open source experience who want to take advantage of SAS Viya distributed analytics

Formatos disponibles	Duración
e-learning:	12 horas/180 día licencia

Students should have experience working with data, creating predictive models, and writing open source programs. Some SAS experience is recommended.