Job Meter =  High
                
                SAS Viya and Python Integration for Machine Learning
                                                                             30 Hours   
                                                                    
                                                    
                        Online Instructor-led Training                        
                                                        
                                                                            GBP 2000                                                                    
                            
                        
                
                    
                    About this Course
                    In this course, you learn to use the Python API to take control of SAS Cloud Analytic Services (CAS) actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment, analyze data, and create predictive models in CAS using familiar Python functionality via the SWAT (SAS Wrapper for Analytics Transfer) package. You then learn to download results to the client and use native Python syntax to compare models.
Learn how to- Use the Python API in SAS Viya.
 - Submit CAS actions from Python.
 - Manage, alter, and prepare data on the CAS server.
 - Implement and compare machine learning models on the CAS server.
 - Move data between the client and server.
 - Use Python syntax to wrap up CAS actions with functions and loops.
 - Promote data to persist in memory.
 
Target Audience
Python users who want to take advantage of SAS Viya distributed analytics for fast and efficient modeling
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SAS Viya and Python Integration for Machine Learning
                        Course Details & Curriculum
                    
                    
                    
                        SAS Viya and Open Source Integration
                    
                                            
                    - SAS Viya and Cloud Analytic Services (CAS).
 - Open source development interfaces.
 - Scripting Wrapper for Analytics Transfer (SWAT).
 - Fundamentals of the R and Python APIs.
 
- Predictive modeling.
 - Predictive models.
 - Model assessment.
 

                        
                        
                        
                        


