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Links 1 through 10 of 65 by Nathan Gilliatt tagged analytics

Seth Grimes pulls together a variety of important thoughts and articles that apply to the Big Data challenge. He ends with an idea of what's next: "The future of Big Data is synthesis and sensemaking."

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Analytics can't answer questions that require information not found in the available data. Jeff Jonas suggests some initial steps to determining whether you have the right data for your task.

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Pointers to some of the open-source and research tools in development for analyzing the large data sets of social networks.

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New Colbert segment on big numbers and social media is required watching for anyone who presents numbers without context or meaning.

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This free, introductory text on data science should be popular. Included in the price is a tutorial on using R. The book was developed for the Certificate of Data Science program at Syracuse University’s School of Information Studies.

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Open-access journal that aims to bring together different disciplines with a stake in advancing data science.

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Well, this was nice. I guess I need to finish my own post on the three buckets of social media data, now.

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