SAS Machine Learning Engineer

Applied machine learning inside the SAS ecosystem

This Professional Certificate is a narrower, more technical offering than most machine learning courses on the market: it's built specifically around SAS tooling and pitched at an advanced level, so it's not a general-audience introduction to ML concepts. It assumes you already know why you'd build a model and focuses on doing it competently and correctly.

• Exploratory data analysis as the foundation for any modeling work
• Correlation analysis to understand relationships between variables before modeling them
• Logistic regression as a core classification technique
• Model evaluation and data modeling practices for production-grade work

It suits data professionals already working in a SAS-heavy environment — think insurance, banking, pharma, or government — who need to formalize machine learning skills on top of tools they already use daily, rather than start over in Python.

Enrollment sits at 769 learners, reflecting how specialized this path is: it's not trying to be the biggest ML course, it's trying to be the right one for a specific enterprise toolchain.