As data science continues to evolve, it’s wise to understand there’s a wide range of people who can contribute at different levels, from seasoned, credentialed professionals, to the self-taught, and all shades in between.
In its latest Hype Cyle for emerging technologies, Gartner says it will be five to ten years before big data reaches the ‘plateau of productivity’ (#Bigdata won’t be mature for at least five years, #Gartner predicts
PropertyCasualty360 3 Key Skills Of Successful Data Scientists InformationWeek But a good data scientist must take the time to learn what problem needs to be solved, how the solution will deliver value, and how it'll be used and by whom.
A university is looking at analysing emails from students to staff to detect negative comments. Is this pastoral care, or 'scary ethics'? (RT @IIEresearch: Interesting discussion on big data in #highered.
Here a sample from an exploration on the implications of Big Data for College Education. The complete exploration includes 620 specific implications. For more information, visit www.implicationswheel.org
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