This course introduces the basics for integrating R programming and Python scripts into SAS Enterprise Miner. Topics are presented in the context of data mining, which includes data exploration, model prototyping, and supervised and unsupervised learning techniques.

This course can help prepare you for the following certification exam(s): SAS Certified Specialist: Advanced Predictive Modeling.

Learn how to

• Integrate open source models in SAS Enterprise Miner.
• Use the open source integration node to call R from SAS Enterprise Miner.
• Create production (score) code for R models.
• Leverage Python scripts in SAS Enterprise Miner.

Who should attend

Open source and SAS Enterprise Miner users who want to integrate the two languages

Formats available	Standard Duration
Classroom:	1 day
Live Web Classroom:	2 half-day session(s)	System Requirements
e-Learning:	7 hours/180 day license	System Requirements

Before attending this course, you should first attend the Applied Analytics Using SAS® Enterprise Miner™ course.

This course addresses SAS Enterprise Miner software.

Overview of Open Source Integration

Introduction to R and Python

Enabling Open Source Language Statements

Using the Open Source Integration Node

Executing System Commands to Run a Python Script

Additional Topics: Calling R from SAS/IML