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Catherine (Cat) Truxillo

Catherine (Cat) Truxillo

Hometown: New Orleans, LA

Current City: Raleigh, NC

PhD; The University of Texas at Austin
MA; The University of Texas at Austin
BA; The University of Texas at Dallas

Using SAS since 1993    Teaching SAS since 2000

Using JMP since 2000    Teaching JMP since 2000

Professional experience:
The University of Texas at Austin: Statistical Consulting; Ergosoft, Austin, TX: Statistician; North Carolina State University: Adjunct Faculty; SAS: Principal Analytical Training Consultant; SAS: Analytical Education Manager

Courses I teach include

Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS
Structural Equation Modeling Using SAS
Strategies and Concepts for Data Scientists and Business Analysts
Statistical Analysis with the GLIMMIX Procedure
Multivariate Statistics for Understanding Complex Data

Notable achievements:

SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling
INFORMS Certified Analytics Professional (CAP)
Recipient of the 2011 Tom Carter Teaching Award

Recommended resources:
Blogs: SAS Learning Post

What students are saying:

Cat has a gift for breaking complex topics down to manageable bits and the detail notes in the course material help a lot; it allowed me to follow if I missed out on any information during the class.
Cat is by far one of the best instructors at SAS. She was extremely knowledgeable about the course content and clearly loves what she does which really came across well in the class. This was my first web class and it was actually more enjoyable than i thought it would be, largely because of Cat.
She not only knows the material extremely well, but she has an enthusiasm for teaching it! She has a very friendly voice and her personal anecdotes made me want to continue listening to her. I can only imagine how much fun she must be in an in-person course.

What is your favorite training course and why?
This changes frequently as I get interested in new classes or software. Right now, my favorite is Structural Equation Modeling using SAS. The CALIS procedure for SEM was rewritten and upgraded in recent years, its syntax streamlined, and the classes of models expanded. It also has some terrific new missing data handling functionality that many people will find incredibly helpful. CALIS is such a satisfying procedure to use, and students find this course particularly engaging.

What is the best part about teaching?
SAS software has so many procedures and features for advanced statistical analysis, it is impossible to ever be bored. With our new Agile R&D process and rapid updates to the advanced analytics products (STAT, ETS, Enterprise Miner, etc.), there is always something new and wonderful to tell students about.

What is your most memorable moment of teaching a SAS (or JMP) class?
There are so many, but this one was early in my career. One year at SUGI (now SAS Global Forum) I spilled a Venti soy-latte on my SAS-issued laptop in front of 25 students. I had only been working for SAS for a few months, and I was sure that it would be my last day as a SAS employee! Larry Stewart (Vice President, SAS Education) personally stopped by and switched out the body of my laptop with a replacement. He gave me a reassuring pat on the back saying, Everyone does that eventually. That was when I knew I was home.

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