jobs.flowingdata.com

FlowingData | Data Visualization, Infographics, and Statistics

Or Become a Member. The important parts of data analysis. March 11, 2014 Statistics. There's plenty of software to muck around with data, but to gain the skills to really get something out of it, that takes time and experience. Mikio Braun, a post doc in machine learning, explains. Braun breaks it down into four bullet points worth a read, but the tl;dr version is that analysis isn't simple, and no tool is going to do everything for you. It's simple with simple data, but you can almost always go deep...

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FlowingData | Data Visualization, Infographics, and Statistics | jobs.flowingdata.com Reviews

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Or Become a Member. The important parts of data analysis. March 11, 2014 Statistics. There's plenty of software to muck around with data, but to gain the skills to really get something out of it, that takes time and experience. Mikio Braun, a post doc in machine learning, explains. Braun breaks it down into four bullet points worth a read, but the tl;dr version is that analysis isn't simple, and no tool is going to do everything for you. It's simple with simple data, but you can almost always go deep...

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6 via infosthetics

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8 basketball movements visualized

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FlowingData | Data Visualization, Infographics, and Statistics | jobs.flowingdata.com Reviews

https://jobs.flowingdata.com

Or Become a Member. The important parts of data analysis. March 11, 2014 Statistics. There's plenty of software to muck around with data, but to gain the skills to really get something out of it, that takes time and experience. Mikio Braun, a post doc in machine learning, explains. Braun breaks it down into four bullet points worth a read, but the tl;dr version is that analysis isn't simple, and no tool is going to do everything for you. It's simple with simple data, but you can almost always go deep...

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blogger.ghostweather.com

Ghostweather R&D Blog: 11/01/2013 - 12/01/2013

http://blogger.ghostweather.com/2013_11_01_archive.html

Data Analysis and Presentation. By Lynn Cherny, Ph.D. Saturday, November 16, 2013. Data Vis Consulting: Advice for Newbies. Every time I give a talk or introduce myself at a conference, someone gets really interested in what I do. When I think I’ve scored a potential client, it turns out they just want to know if they could do what I do. Some folks are direct: One woman at a Python Data Science conference said, “So, you know that job ad list you run for data-vis jobs? How do I get one of those jobs?

$wiki.math.yorku.ca$ wiki.math.yorku.ca

Careers in Mathematics and Statistics - MathWiki

http://wiki.math.yorku.ca/index.php/Careers_in_Mathematics_and_Statistics

Careers in Mathematics and Statistics. Statistical Society of Canada links: http:/ www.ssc.ca/education/careers e.html. Math-based jobs rate highest with surveyed students. Http:/ www.thestar.com/specialsections/schoolsguide/article/597255. Toronto Star, March 9, 2009. An interesting link to an article in Business Week: http:/ businessweek.com/magazine/content/06 04/b3968001.htm. Job Boards for Careers in Statistics. The Flowing Data Job Board for Data Viz jobs. Http:/ jobs.flowingdata.com/.

blogger.ghostweather.com

Ghostweather R&D Blog: Data Vis Consulting: Advice for Newbies

http://blogger.ghostweather.com/2013/11/data-vis-consulting-advice-for-newbies.html

Data Analysis and Presentation. By Lynn Cherny, Ph.D. Saturday, November 16, 2013. Data Vis Consulting: Advice for Newbies. Every time I give a talk or introduce myself at a conference, someone gets really interested in what I do. When I think I’ve scored a potential client, it turns out they just want to know if they could do what I do. Some folks are direct: One woman at a Python Data Science conference said, “So, you know that job ad list you run for data-vis jobs? How do I get one of those jobs?

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FlowingData | Data Visualization, Infographics, and Statistics

Or Become a Member. The important parts of data analysis. March 11, 2014 Statistics. There's plenty of software to muck around with data, but to gain the skills to really get something out of it, that takes time and experience. Mikio Braun, a post doc in machine learning, explains. Braun breaks it down into four bullet points worth a read, but the tl;dr version is that analysis isn't simple, and no tool is going to do everything for you. It's simple with simple data, but you can almost always go deep...

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