Every question on PA is graded on a relative basis to how everyone else answered it.  Join our experts as we provide a comprehensive tutorial of how to make your answers stand out to get maximum credit.  Highlighting how to build predictive models, data prep, variable selection, model validation, and professional writing, we will test your knowledge and provide short-answer questions and then give feedback in real time.


Howard Steven Friedman is a data scientist, health economist, and writer. He teaches at Columbia University and has decades of experience in the public sector, private sector and academia.

Friedman earned a Masters in Statistics and Ph.D. in Biomedical Engineering from Johns Hopkins University. Friedman was a director at Capital One where he led teams of data scientists, statisticians, analysts and programmers in various areas of operations and marketing. He later formed private companies that provided consulting services in areas of designing, developing and modeling data touching on industries as diverse as teleco, healthcare, retail and real estate.

He has authored/co-authored about 100 scientific articles and book chapters in areas of data science, applied statistics, health economics and politics.

In June 2012, Prometheus Books released his book Measure of a Nation. This book, a data-driven book on how to improve America, was named by Jared Diamond as the best book of 2012 in the New York Times.  His most recent release, Ultimate Price, has been covered by major media including National Public Radio and the journal Science and is being translated into a number of foreign languages


Dave is a technology evangelist and insurance professional with a strong background in actuarial science, predictive analytics, complexity sciences, life underwriting, and systems development.

His specialty is working with highly talented experts in insurance and related financial services, and helping them leverage their expertise by introducing or inventing creative technology-based tools for them to overcome obstacles that limit their potential.

Dave currently teaches AI Machine Learning at Maryville University in St. Louis, MO and he is the long-time Editor of the Society of Actuaries Predictive Analytics and Futurism section newsletter. 

Webinar Agenda

Saturday, 6/19/21 at 9:00 AM CST / 10:00 AM EST

Time Topic
9:00 am – 9:15 am
Icebreaker Pole + Study tips
9:15 am – 9:35 am
Dave Snell - Machine Learning Made Easy
9:35 am – 9:45 am
Q & A with Dave
10:25 am – 10:45 am
Sam Castillo - Exam Review
10:45 am – 11:00 am
Q & A with Sam

Sunday, 6/20/21 at 1:00 PM CST / 2:00 PM EST

Time Topic
1:00 pm - 1:20 pm
Howard Friedman - Why Should I Care About Learning Predictive Analytics?
1:20 pm - 1:30 pm
Q & A with Howard
1:30 om - 2:45 pm
Sam Castillo - Exam Review
2:45 pm - 3:00 pm
Q & A with Sam