SAS Viya Platform Administration

It seems you're looking to outline a comprehensive course on SAS® Viya® Platform Administration. The curriculum you've described is well-structured and covers the essential aspects of using and administering SAS Viya. Here's a bit more detail on each section to help flesh out the course content:

1. Introduction to SAS Viya

This section would provide an overview of what SAS Viya is, its place in the analytics landscape, and how it integrates with existing SAS products and third-party platforms. It would also cover the key concepts like analytics at scale, cloud-native architecture, and the different editions of SAS Viya (Developer, Advanced, High Performance).

2. Data Management in SAS Viya

This section would delve into how to import data from various sources, including databases like SQL Server, Oracle, or MySQL, spreadsheets from Excel or CSV files, and cloud storage services like Amazon S3, Azure Blob Storage, etc. It would also cover best practices for data cleaning, transformation, and preparation using the SAS Viya Data Library and various tools available within the platform, such as SAS Studio, SAS Web Visual Editor, and SAS Add-In for Jupyter.

3. Data Exploration and Visualization with SAS Visual Analytics

Here, students would learn how to use SAS Visual Analytics to explore data through interactive visualizations and dashboards. This section would cover the design and development of visual analyses, including creating charts, graphs, and maps, understanding data distributions, and exploring relationships between variables. Students would also learn how to build interactive reports and dashboards that can be shared with others within or outside the organization.

4. Basic Analytics in SAS Viya

In this section, students would be introduced to the basic analytics capabilities of SAS Viya, including statistical analysis techniques, regression modeling, decision trees, clustering, and classification models. This would provide a foundation for understanding more advanced analytical methods taught in subsequent courses.

5. Collaboration and Sharing in SAS Viya

This section would focus on the collaborative features of SAS Viya, such as user groups, permissions, sharing options, and data governance strategies. It would also cover the importance of security and privacy when working with data and how to manage access to ensure data integrity and compliance with regulations like GDPR or HIPAA.

Additional Course Elements

To enhance the learning experience, you might consider adding the following elements to your course:

• Hands-on Exercises: Provide practical exercises that allow students to apply what they've learned in real-world scenarios. This could include importing data, running analyses, and creating visualizations.

• Case Studies: Present real-world examples or case studies that show how different organizations use SAS Viya to solve business problems.

• Best Practices: Share guidelines for effective data management, analysis, and reporting within the SAS Viya environment.

• Lab Sessions: Offer interactive lab sessions where students can work on their own or in groups to solve specific tasks or projects.

• Assessment Quizzes: Include quizzes at the end of each module to assess understanding and retention of key concepts.

• Forum for Discussion: Create a forum or discussion board where students can ask questions, share insights, and collaborate with their peers.

• Resource List: Provide additional resources, such as links to SAS documentation, whitepapers, and tutorials for further exploration of topics covered in the course.

By incorporating these elements, you'll be able to deliver a comprehensive and engaging course on SAS Viya Platform Administration. Students who complete this course will have a solid understanding of how to manage, analyze, and visualize data using SAS Viya, as well as how to ensure collaboration and security in the analytics process.