[computerworld] #datascientist #datascience BigDataFr recommends: The data science ecosystem

BigDataFr recommends: The data science ecosystem

« Data science isn’t new, but the demand for quality data has exploded recently. This isn’t a fad or a rebranding, it’s an evolution. Decisions that govern everything from successful presidential campaigns to a one-man startup headquartered at a kitchen table are now based on real, actionable data, not hunches and guesswork.

Because data science is growing so rapidly, we now have a massive ecosystem of useful tools. I’ve spent the past month or so trying to organize this ecosystem into a coherent portrait and, over the next few days, I’m going to roll it out and explain what I think it all means.

Since data science is so inherently cross-functional, many of these companies and tools are hard to categorize. But at the very highest level, they break down into the three main parts of a data scientist’s work flow. Namely: getting data, wrangling data and analyzing data. I’ll be covering them in that real-world order, starting first with getting data, or data sources »
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By Lukas Biewald
Source: computerworld.com

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