Hello Everyone,
The Statistical Consulting Section would like to present our great slate of webinars for you this year. The first one is this month. Information and registration is below.
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August 22nd
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Steve Simon
Independent Consultant and blogger
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Business essentials for starting an independent consulting practice (see below)
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September 19th
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Mike Gilliland, CFPIM
Product Marketing Manager – SAS Forecasting
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Changing the Paradigm for Business Forecast (or something based on that)
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November 7th
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Steve Simon
Independent Consultant and blogger
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Finding customers for your independent consulting practice.
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January
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Norm Matloff
Prof of Computer Science, UC Davis
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Statistical Regression and Classification: From Linear Models to Machine Learning
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More detail and registration information for the first webinar:
Title: Business essentials for starting an independent consulting practice
Speaker: Steve Simon
Registration: http://www.amstat.org/ASA/Education/Web-Based-Lectures.aspx
Abstract: If you want to set up your own consulting business, you need to learn a few basic business skills. You need to set up an independent financial system for income and expenses. You need to decide between a sole proprietorship, a limited liability corporation, or an S/C Corporation. You need a system for invoicing. You need to examine insurance options. This webinar will explain why each of these is important. Disclaimer: I am not a lawyer, an accountant, or an insurance agent. Furthermore, there are no "one size fits all" solutions. This webinar will help you know what your options are, but you should discuss your particular situation with a qualified lawyer and accountant to choose what is best for you.
Bio: Steve Simon received a Ph.D. in Statistics from the University of Iowa in 1982. He currently runs P.Mean Consulting as a sole proprietorship. He is also a part-time faculty member in the Department of Biomedical and Health Informatics at the University of Missouri-Kansas City. He has over 90 peer-reviewed publications, four of which have won major awards. He has written one book, Statistical Evidence in Medical Trials, and a book chapter, R for Big Data Analysis, in Big Data Analysis for Bioinformatics and Biomedical Discoveries. He is also is the author of a major website about Statistics, Research Design, and Evidence Based Medicine, www.pmean.com. One of his current areas of interest is using Bayesian models to forecast patient accrual in clinical trials.
Thank you everyone. Your feedback is always welcome.
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Chuck Kincaid
Principal Data Scientist
Experis BI & Analytics Practice Business Analytics
chuck.kincaid@experis.com------------------------------