Enroll Course: https://www.coursera.org/learn/sas-viya-rest-api-python-r
In today’s data-driven world, the ability to analyze large datasets quickly and effectively has become crucial for businesses and researchers alike. One of the leading tools to accomplish this is SAS Viya, an in-memory distributed environment that boasts powerful analytics capabilities. The course ‘Using SAS Viya REST APIs with Python and R’ on Coursera offers a comprehensive guide to harnessing these capabilities through the integration of SAS Viya with open-source programming languages.
**Course Overview**
This course is designed for individuals looking to enhance their data analysis skills by leveraging the power of SAS Viya through programming with either Python or R. The course begins with an introduction to SAS Viya and the Cloud Analytic Services server, which forms the foundation of this analytic environment. One of the standout features is how easily you can manage data processing commands directly from R or Python, making it accessible for those familiar with these languages.
**Course Syllabus**
The course is structured into several modules, each focusing on a different aspect of using SAS Viya:
– **SAS® Viya® and Open Source Integration**: Get introduced to the analytical engine and how to submit commands using open-source languages.
– **Machine Learning**: Learn to create and optimize predictive models using R and Python integrated with SAS Viya, enhancing your data analysis capabilities.
– **Text Analytics**: Understand how to apply natural language processing to analyze text documents and convert unstructured data into numerical formats suitable for modeling.
– **Deep Learning**: Explore advanced techniques in deep learning and how to create models for sequence data with recurrent neural networks.
– **Time Series**: Master classical forecasting methods and their implementation using SAS Viya APIs.
– **Image Classification**: Discover how to classify images with convolutional neural networks, broadening your analytical skill set into visual data.
– **Factorization Machines**: Learn to build recommendation engines through factorization machine models in SAS Viya.
**Why Take This Course?**
This course is ideal for anyone looking to delve into big data analytics using powerful tools. The step-by-step approach ensures learners can apply the knowledge immediately through practical exercises within Jupyter Notebooks. The hands-on projects allow learners to evaluate their understanding and gain confidence in using the SAS Viya environment.
With the increasing demand for data analytics skills in the job market, mastering SAS Viya and its REST APIs will provide a significant edge. This course not only prepares you for real-world scenarios but also complements your existing programming skill set in R and Python.
In conclusion, ‘Using SAS Viya REST APIs with Python and R’ is a highly recommended course for anyone in the data analytics field. Whether you are a beginner or looking to refine your skills, this course delivers essential insights and practical knowledge in an engaging format. Embrace the opportunity to enhance your data analysis repertoire and give your career a boost by enrolling today!
Enroll Course: https://www.coursera.org/learn/sas-viya-rest-api-python-r