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Data Science for Business Audiobook

Data Science for Business: Data Analytics Guide with Strategies and Techniques

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Publisher's Summary

Basic data science explained.

Explore the field of data science, and the way to analyze big and small data. This technical audiobook goes over the main aspects of analyzing data correctly, by using various strategies you need to implement in order to get results that are precise and beneficial. Learn about:

  • Modeling data and visualization.
  • The three V's of big data and what to do with them
  • Software recommendations and applications
  • Machine algorithms and interesting side notes regarding them
  • Rules, infrastructure, adaptation, and other techniques
  • Perception and cognition basics that apply to data
  • Efficient uses of regression, database querying, machine learning, and data warehousing

Curious yet? Then don't wait and start listening, so you don't have to remain in the dark. Save yourself the time and learn from what worked for me. I will see you in the first chapter!

©2017 Charles Jensen (P)2017 Charles Jensen

What Members Say

Average Customer Rating

4.9 (25 )
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4.9 (25 )
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4.9 (25 )
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  •  
    Kris Campbell 09-05-17
    HELPFUL VOTES
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    "Simply saying, this is my favorite audio book."

    Simply saying, this is my favorite audio book. The authors took up the challenge of writing a timeless book in a field undergoing fast technological growth. If you want to manage successful teams in data science and data-analytic thinking this audio book is a must. I highly recommend it!

    0 of 0 people found this review helpful
  •  
    Marie Andrews 09-05-17
    HELPFUL VOTES
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    "Thank you for a brilliantly written audio book."

    Thank you for a brilliantly written audio book that allows the listener to navigate the field of data science and for lifting up the mystery cover for many potential data analysts who don't go into the field because they think it is voodoo.

    0 of 0 people found this review helpful
  •  
    Grant Bryan 09-05-17
    Grant Bryan 09-05-17
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    "Very well organized, easy to follow."

    Very well organized, easy to follow and full of real life examples. I truly recommend this audio book to everyone who's learning how to deal with a big data and big data analytics projects.

    0 of 0 people found this review helpful
  •  
    Walid Afrah 09-05-17
    Walid Afrah 09-05-17
    HELPFUL VOTES
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    "This audio book addresses the topic of Big Data."

    This audio book addresses the topic of Big Data in a practical, understandable manner. Some audio books are too technical or the authors seem to be learning as they go. These guys know what they are talking about well enough to really be able to explain it.

    0 of 0 people found this review helpful
  •  
    Angelina 09-05-17
    Angelina 09-05-17
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    "Well explained, a good overview!"

    Well explained, a good overview for the semi-technical business listener. Explains the critical areas of Data Science with appropriate depth to understand concepts etc.

    0 of 0 people found this review helpful
  •  
    Marcella 09-05-17
    Marcella 09-05-17
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    "Great audio book!"

    Great audio book for providing a high level summary of data science techniques to people that may not care about the mathematical details. I tend to recommend this to people more worried about building up a working knowledge of classic problems and approaches in data science rather than for those wanting to look at page after page of detailed math related to probability distributions.

    0 of 0 people found this review helpful
  •  
    Anna the Girl 09-05-17
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    "I'm trying to learn data science."

    I'm trying to learn data science, and this book is well explained incredibly. It gives an overview at a level which gets you a decent technical understanding, plus it points very clearly the way to dive deeper in any particular area that you would like to explore.

    0 of 0 people found this review helpful
  •  
    Ronald Dacks 09-05-17
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    "Gives you the details!"

    Gives you the details, insights, underlying principles, and a glimpse but not the full set of math that would be necessary to actually be a practitioner.

    0 of 0 people found this review helpful

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