Journey to Data Science

As the Big Data phenomenon continues to grow, we’re seeing demand for trained and talented data scientists far exceeding the supply. In the past, there were individual specialists that handled pieces of what today we call data science, with three or four different people with different skill sets touching your company’s data. There might be

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Bill’s Most Excellent Data Scientist Adventure: Suggested Readings

In my previous InFocus blog, I talked about attending the EMC Education Services Data Scientist class titled  “Data Science and Big Data Analytics.”  The course provided a hands-on practitioner’s approach to the techniques and tools required for big data analytics.  My primary interest in the course was to see if it was really possible for

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Bill’s Most Excellent Data Scientist Adventure

This past week I’ve had a chance to attend EMC Education Services new class titled  “Data Science and Big Data Analytics.”  The course provides a hands-on practitioner’s approach to the techniques and tools required for Big Data Analytics.  My primary interest in the course was to see if it was really possible to transition an

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Five Mistakes of a Rookie Data Scientist

To truly be able to assist the business you support, you must understand what pitfalls to avoid when analyzing their data. All too often, people jump into “data mining mode” without thinking about what they are doing. They just play around and start drawing conclusions. I’m a huge fan of playing around in the data;

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Finding the Right Metric – For the Right Audience

A fellow InFocus blogger, EMC Consulting’s Bill Schmarzo, recently posted about “Finding the Right Metric”. He used fielding percentage vs. effective fielding range as a great example of how Big Data can help general managers identify better predictors of a baseball fielder’s performance, without encouraging bad player behavior. As a Data Scientist you will often

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