Enroll Course: https://www.coursera.org/learn/sas-viya-rest-api-python-r

In the ever-evolving landscape of big data analytics, leveraging powerful platforms efficiently is key. SAS Viya, with its in-memory distributed environment, promises rapid and effective analysis of massive datasets. But how do you harness its full potential, especially if your primary tools are the widely adopted open-source languages Python and R?

The Coursera course, “Using SAS Viya REST APIs with Python and R,” offers a comprehensive solution. This course is designed to bridge the gap, empowering you to control SAS Viya’s Cloud Analytic Services (CAS) directly from your familiar Jupyter Notebook environment.

What sets this course apart is its practical, hands-on approach. You’ll learn to seamlessly upload data into the cloud, perform sophisticated analyses, and build predictive models using SAS Viya, all through the intuitive SAS Scripting Wrapper for Analytics Transfer (SWAT) package. This means you can leverage the robust capabilities of SAS Viya while staying within your preferred Python or R workflow.

The syllabus is impressively thorough, covering everything from the fundamental integration of SAS Viya with open-source languages to advanced machine learning techniques. You’ll delve into creating, optimizing, and assessing predictive models, gaining practical skills in managing the model lifecycle. The course also explores the exciting realm of text analytics, teaching you how to transform unstructured text into valuable numeric inputs for modeling.

For those interested in cutting-edge AI, the modules on deep learning and time series analysis are particularly valuable. You’ll discover how to implement deep learning methods, including recurrent neural networks for sequential data, and how to build sophisticated time series forecasts using both classical methods and advanced neural networks. The course even touches upon image classification with convolutional neural networks and the creation of recommendation engines using factorization machines.

Whether you’re a data scientist, an analyst, or a developer looking to expand your toolkit, this course provides the essential knowledge and practical experience to effectively utilize SAS Viya with Python and R. It’s a highly recommended resource for anyone aiming to maximize their big data analysis capabilities.

Enroll Course: https://www.coursera.org/learn/sas-viya-rest-api-python-r