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Statistics for Data Science | Medical Statistics Course 2018

Event Details

Statistics for Data Science | Medical Statistics Course 2018

Time: February 26, 2018 at 9am to February 27, 2018 at 6pm
Location: Washington, DC
Street: Washington, DC
City/Town: Washington, DC
Website or Map: http://www.globalcompliancepa…
Phone: 800-447-9407
Event Type: regulatory, and, compliance, seminars
Organized By: NetZealous DBA as GlobalCompliancePanel
Latest Activity: Dec 7, 2017

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Event Description

Course "Statistics for the Non-Statistician" has been pre-approved by RAPS as eligible for up to 12 credits towards a participant's RAC recertification upon full completion.

 

Overview:

 

If statistical analysis is not properly performed and/or understood, a firm can run the risk of distributing the kind of product to the market that ultimately fails, resulting in lost time and money. Statistics of course, requires constant practice.

This seminar will be highly interactive and participative. Participants apply their learning of statistics to real-world example data sets. The program begins by providing a basic overview of the most common statistical tools and terms.

By the end of day two, course participants will have acquired the skills necessary to read and understand statistical reports contained in the CMC section including statistically sound sampling plan. One of the outstanding features of this learning session is that throughout its duration, it will allow complete interaction of the participants with both an expert instructor and their peers.

 

Why should you attend:

 

The course is developed for non-statistician whose roles and responsibilities either require interfacing with statisticians or need to perform basic statistical tasks. Most statistical training focus on the formulas and theory instead of the practical implications of the practice of statistics. This course provides practical industry examples putting context to more complex statistical techniques. Most participants have no previous statistical experience, though have interest in learning about how to apply statistical concepts in their job.

 

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