Category Archives: Statistics

5.2 billion mobile users, 292 billion gigabytes mobile traffic by 2019

In February 2015, Cisco released the Cisco VNI Global Mobile Data Traffic Forecast, 2014 – 2019. Global highlights from the updated study include the following projections: By 2019: There will be 5.2 billion global mobile users, up from 4.3 billion … Continue reading

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Global Mobile Data Traffic 2010–2020

Source: Ericsson  

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What Happens on the Web in 60 Seconds (Infographic)

Source: Qmee

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Big Data: Who, Why, and How (Infographic)

“Early adopters of Big Data analytics have gained a significant lead over the rest of the corporate world. Examining more than 400 large companies, we found that those with the most advanced analytics capabilities are outperforming competitors by wide margins.” … Continue reading

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What Will Make You a Big Data Leader?

The IBM Institute for Business Value’s 2013 analytics survey surveyed 900 business and IT executives from 70 countries. “Leaders” (19% of the sample) were respondents self identified as “substantially outperforming their market or industry peers” in a question used by the IBM Institute for Business … Continue reading

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On Data Janitors, Engineers, and Statistics

Big Data Borat tweeted recently that “Data Science is 99% preparation, 1% misinterpretation.” Commenting on the 99% part, Cloudera’s Josh Wills says: “I’m a data janitor. That’s the sexiest job of the 21st century. It’s very flattering, but it’s also a little … Continue reading

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Cool Data Scientists on Campus

Hal Varian:  “Data availability is going to continue to grow. To make that data useful is a challenge. It’s generally going to require human beings to do it.” Source: Carl Bialik, “Data Crunchers Now the Cool Kids on Campus,” The Wall … Continue reading

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Big Data Quotes of the Week

“Data is everywhere. It exists. We’re just pulling it into one place and our goal is to make it consumable for teachers”–Fahad Hassan, Always Prepped “A lot of people are changing their title, but they’re not really data scientists, and … Continue reading

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Domain Expertise vs. Machine Learning: The Debate Continues

“The startup’s three co-founders have backgrounds in engineering and data science, but not weather, and there are no meteorological models involved. By keeping weather predictions within a two-hour window, they believe statistics are sufficient.”–Mashable in “Can Statistics Predict Weather Without Meteorologists? … Continue reading

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