FDP - Shaping an Analytics Curriculum (A SAS & Open Source Approach)

This outline is provisional and subject to change.The Faculty Development Program (FDP) teaches you fundamental concepts and relevant techniques in analytics and machine learning using a powerful mix of SAS and open-source programming languages. The course also enables you to explore academic and collaborative opportunities with SAS in the area of advance analytics for designing better curriculum and effective pedagogy.

Learn how to

• Data manipulation & preparation with point & click approach
• Bringing your R & Python expertise into SAS

Who should attend

Professors/Faculties of Academic Institutions. R/Python users who want to take advantage of SAS Viya distributed analytics for fast and efficient modeling

Formats available	Duration
Live Web Classroom:	8 half-day session(s)

• Basic SAS programming knowledge or any other programming knowledge
• Basic knowledge of statistical modelling

This course addresses Base SAS, SAS Studio, SAS Viya, SAS Visual Data Mining and Machine Learning software.

Program Opener

• Education 4.0
• SAS Company overview and SAS Academic Program
• Curriculum Design Learning Pathways & Best Practices.

Data Science and Market Insights

• Data Science and its Applications
• Analytics Life Cycle and SAS Tools
• Market Insights

Getting Started with SAS

• Accessing Data
• Analyzing and Reporting of Data
• Using SQL in SAS
• Creating Custom Formats

Getting Started with SAS Viya Programming

• Introduction
• Loading Data into SAS Cloud Analytic Services (CAS)
• Modifying Base SAS Programs to Run in SAS Viya

Getting Started with SAS and Open Source

• SAS Viya and Open Source Integration
• Machine Learning