Data Science Venn Diagram 2 0
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For applying data science knowledge of many diverse skills is required which you will learn in the data science venn diagram.
Data science venn diagram 2 0. Data science venn diagram v2 0 there have been a number of attempts to get our collective brains around all the skill sets needed to effectively do data science. Read this comparative overview of data science venn diagrams for both the insight into the profession and the humor that comes along for free. The article originated in 2010. In fact most of the big data tools were just released.
Data science venn diagrams of the future. Then came all the rest. These venn diagram graphics may be used with attribution. I agreed on the view.
At that time data science was considered the intersection of domain expertise math stats knowledge and hacking skills. Also data science involves many different roles that is a data scientist needs to perform many tasks like assemble data prepare data analyze data prepare models evaluate models predict results and whatnot. Conway s data science venn diagram characterizes data scientists as people with a combination of skills and know how in three categories. 2 math and statistics.
Maybe not these exact skills but it really is a synergy of different disciplines. The data science venn diagram september 30 2010 by drew conway on monday i humbly joined a group of nyc s most sophisticated thinkers on all things data for a half day unconference to help o reily organize their upcoming strata conference. Here s a link to steve geringer s data science venn diagram 2 0 at the bottom of this link he attributes the original data science venn diagram to a creative commons attribution noncommercial license. If my rehashing of the data science venn diagram helps anyone with that i will consider it time well spent.
If you enjoyed this article consider sharing it with a friend. The world is what we make of it and it needs to be smarter. Wikipedia s page on data science has the following totally not a venn diagram. Really in my opinion this is the way to look at data science.
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