FREE WORKSHOPS
Calling all Professors!
Faculty Development Program
Shaping an AI & ML curriculum for Business
7th to 11th August 2023 | Online
The Faculty Development Program strives to support and promote learning of data science concepts and curriculum, to provide opportunity and development to professors/educators and academic institutions. These standard programs will help SAS to reach out to Professor communities with updated contents. The ultimate objective of these FDP is to increase SAS Resources in the market.
Benefits:
- Free sessions throughout the year. We keep your time and budget constraints in mind by providing free sessions of varying lengths that accommodate your academic schedule.
- Training on a variety of topics. From predictive modeling to machine learning, you’ll stay on top of the latest technologies and learn today's most valuable skills.
- Instructor interaction. Our live web courses offer all the benefits of classroom training without leaving your home or office. Interact with instructors who are industry experts.
- Free course materials. You’ll get PowerPoint slides, course notes and data sets you can use in your own classroom.
- Curriculum assistance. We'll help you develop both graduate and undergraduate courses. Plans are intended to encompass one semester of teaching (equivalent to four credit hours; three lecture hours per week plus a weekly lab).
Note: Please use your college email addresses to create your profiles.
Register now
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Upcoming Workshops
If you’re an educator looking to sharpen your skills and teach SAS, our interactive workshops offer everything you need.
Skill Focused Workshops
Machine Learning with SAS
This workshop uses an interactive approach to introduce you to visualization, model assessment, and model deployment while introducing you to a variety of machine learning techniques.
Skill Focused Workshops
Getting Started with SAS and Open Source
This workshop provides an introduction for experienced R and Python users who want to apply their existing skills and extend them to the SAS environment. Emphasis is placed on programming and not statistical theory or interpretation.
Date:
7th to 11th August 2023
Time:
08:30 AM–12:30 PM IST
Venue:
Online