Practical Statistical Analysis for Data Analysts Workshop

Hosted by Silicon Valley Data Science, ML, AI Platform

Public group


This workshop is designed for data analysts, financial analysts and all who use data to derive new relationships/formulate from the data. The content is about how to search for relationships in the data once you have the data. What you can and cannot do, and how to do it. It is based on Solomon’s 40-years of real-world experience working with data. So, if you want to build models that work in the real-world you need to attend this workshop.


6:20 pm - 6:30 pm Arrival and socializing
6:30 pm - 6:40 pm Opening
6:40 pm - 7:50 pm Benjamin T. Solomon, "Practical Statistical Analysis for Data Analysts Workshop"
7:50 pm - 8:00 pm Q&A

About Benjamin T. Solomon:

Solomon has 40-years working with data in the real-world. His achievements including discovering new physics relationships in gravity, solving strategy problems, building stress testing models for Commercial Mortgage Backed Securities (CMBS). Solomon is a contributor to, which includes the article “The Fed’s Bank Stress Test is Wrong”. He is the inventor of a new class of solutions Asymmetric Information Resolution (AIR) models, i.e. how do you determine private information of a company, its strategy and competitive positioning. This subject will be taught in the next course Inferring Private Information from Public Data, of which this course is a prerequisite.

This workshop is an introduction to 2 courses (i) Real World Data Analyses & (ii) Inferring Private Information from Public Data. The 1st course is very helpful to understanding the second. Attendees need to have some understanding of statistical method to benefit from these 2 courses.