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Using Data to Make Predictions: Regression

General Assembly

Wednesday, July 11, 2012 from 1:00 PM to 4:00 PM (EDT)

New York, United States

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Single Ticket Ended $75.00 $4.74
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Event Details

Using Data to Make Predictions: Regression 

Wednesday, July 11th from 1:00 - 4:00 pm

Joaquin Roca, Organization Development Consultant

This lecture-style class is for anyone who wants to use the data they work with everyday to make predictions. We will cover the basics of correlation and regression, a powerful statistical technique that can be used to make predictions from data. The majority of this class will be spent collecting and analyzing data while learning how to calculate regression coefficients and test regression models for significance. In the last portion of the class we will learn how to use R to run regressions.

After this class, students will be able to use the data they have in their organizations to make powerful predictions.

Pre-requisite: This class is for advanced beginners. Students must know how to calculate a mean and standard deviation. Students must also watch the 10 minute intro to using R video before coming to class.  

Joaquin Roca is an organization development consultant who helps NY tech startups understand group process and the way group dynamics impact their teams.  Currently, he's working with several NY tech startups as a process consultant.  Over the past 13 years he's consulted for large-scale change initiatives, facilitated trainings, led strategic planning sessions and retreats, coached executives, and conducted applied research projects. As a consultant he's worked with lots of great organizations including Harvest, SumAll, Urtak, numerous agencies in the United Nations system, The Federal Reserve Bank of Boston, The Borough of Lansdale, PA, and Pfizer.

When & Where


902 Broadway, 4th Floor
New York, 10010

Wednesday, July 11, 2012 from 1:00 PM to 4:00 PM (EDT)


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Organizer

General Assembly

General Assembly is a campus for technology, design, and entrepreneurship. We provide educational programming, space, and support to facilitate collaborative practices and learning opportunities across a community inspired by the entrepreneurial experience.

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