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    Cover of Data Science for Business

    Data Science for Business

    Foster Provost, Tom Fawcett · 2013

    Provides an introduction to the fundamental principles of data science, walking the reader through the "data-analytic thinking" necessary for extracting useful knowledge and business value from collected data.

    Data & StatisticsBusiness & ManagementAI & Machine Learning
    Open LibraryAmazon
    Stats for nerds
    2recommend
    3mentions
    3people
    2015–2019years
    67% recommend33% neutral

    Mentions per year

    20152016201720182019

    What Hacker News says

    1. amrrsJun 2019
      I think if you're getting into BI / Data Science or anything similar - you should definitely have a look at this - Data Science for Business https://www.amazon.com/Data-Science-Business-Data-Analytic-T...
      thread
    2. lastofusDec 2017
      For anyone looking for a DS primer, I have to say I was really disappointed with "Data Science from Scratch". It was all breadth with little depth. It felt more like a suggested list of topics to further research w/ other material.

      I personally got way more value and insight out of "Data Science for Business" and would highly recommend it.

      thread
    3. heynickcOct 2015
      Yea I've wondered that myself. I picked up a book a while back called "Data Science for Business" http://shop.oreilly.com/product/0636920028918.do

      Something that stood out to me was their discussion about "Big Data technologies" (Hadoop, HBase...) and how they "support" data mining techniques. So sometimes I wonder if big data technologies are more for the processing of the data, like the ETL needed for data warehouses - but since it's big, we need those special technologies to process it (and do additional data-sciencey things on it - like calculate a probability of churn, probability of loan default, etc). End results can still be those high-performance in-memory objects that we can slice and dice, just like our data warehouses, if that's how we need to see them.

      This is all coming from no practical experience with Hadoop / Big Data, just research so hopefully someone clarifies :)

      thread

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