It's great to walk out to Harvard campus to listen to speech about data scientist stuff.
Not very detailed fact is presented in the slides. Only couple of lines:
* business insights(audience)
* predictive analysis(uplift modeling)
* software engineering(hadoop ecosystem)
He also emphasize on the success of big data/data science project need the support from executives. As we don't know what we want to build as the beginning stage. And only beautiful reports can attract executives' support. And beautiful reports should be good for executives to read.
Also he mentioned he has two stacks in his team: business stack where weeks or months of project which provides feature for business; and research stack can use try and test approach to find the value of data science.
One thing I was not realize it's importance it's we need find the business value of data science.
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