Jordan Bakerman holds a Ph.D. in statistics from North Carolina State University. His dissertation centered on using social media to forecast real world events, such as civil unrest and influenza rates. As an intern at SAS, Jordan wrote the SAS Programming for R Users course for students to efficiently transition from the R to SAS using a cookbook style approach. As an employee, Jordan has developed courses demonstrating how to integrate open source software within SAS products. He is passionate about statistics, programming, and helping others become better statisticians.
Coursera
Dive into the world of statistical analysis with our beginner-friendly course on hypothesis testing. Perfect for SAS software users, this course covers essential topics like t tests, ANOVA, and linear regression, providing a solid foundation for advanced analyses.
Coursera
Dive into the world of statistical analysis with our Regression Modeling Fundamentals course. Perfect for SAS software users, this course will guide you through essential techniques such as t tests, ANOVA, linear regression, and even introduce you to logistic regression. Whether you're new to statistical analyses or looking to refine your skills, this course provides a solid foundation.
Coursera
Dive into the world of data analysis with 'Statistics with SAS' – a beginner-friendly course designed for those using SAS software. Gain expertise in performing statistical analyses including t-tests, ANOVA, and linear regression, plus a brief introduction to logistic regression.
Coursera
Dive into the world of big data analytics with our course 'Using SAS Viya REST APIs with Python and R'. This course will guide you through the process of harnessing the full potential of SAS Viya's powerful analytics tools from your Jupyter Notebook. You'll learn to integrate SAS Cloud Analytic Services with Python and R, enabling efficient data uploads, sophisticated analysis, and predictive modeling.