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Harris Cullinan
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  • Charleston, SC
  • United States
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Michael Walker left a comment for Harris Cullinan
"New Meetup Group: Data Science & Business Analytics Please join us @ http://www.meetup.com/Data-Science-Business-Analytics/?gj=ej1b&a=wg2_rdmr What important truth do very few people agree with you on? For folks who desire to have fun…"
Aug 13, 2012

Profile Information

Short Bio:
My passions are customer insights, demographics, econometrics, forecasting, SEM, SEO, social systems, and statistical analysis.
My Website or LinkedIn Profile (URL):
http://www.linkedin.com/in/hcullinan
Field of Expertise:
Predictive Modeling, Data Mining, Marketing Databases, Econometrics, Statistical Programming, Web Analytics, Vizualization
Years of Experience in Analytical Role:
2
Professional Status:
Technical
Interests:
Finding a New Position
What is your Favorite Data Mining or Analytical Website?
http://www.decisionstats.com/
What Other Analytical Website do you Recommend?
http://brenocon.com/blog/

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At 10:18am on August 13, 2012, Michael Walker said…

New Meetup Group: Data Science & Business Analytics

Please join us @ http://www.meetup.com/Data-Science-Business-Analytics/?gj=ej1b&a=wg2_rdmr

What important truth do very few people agree with you on?

For folks who desire to have fun playing with data and develop both strong technical ability and skills to apply data science and analytic results to critical business issues.

A data scientist is somebody who can play with data, spot trends and learn truths few others know. Data scientists are inquisitive: exploring, asking questions, doing “what if” analysis, questioning existing assumptions and processes.

Data Science: the analysis of data creation. The data scientist has a solid foundation in computer science, modeling, statistics, analytics, math and strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge.

Business Analytics: the practice of iterative, methodical exploration of an organization’s data with emphasis on statistical analysis.

 
 
 

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