• Data Science

  • What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't
  • By: Herbert Jones
  • Narrated by: Sam Slydell
  • Length: 3 hrs and 13 mins
  • Unabridged Audiobook
  • Categories: Computers & Technology
  • 4.0 out of 5 stars (24 ratings)
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Publisher's Summary

Did you know that the value of data usage has increased job opportunities but that there are few specialists?

These days, everyone is aware of the role data can play, whether it is an election, business, or education. But how can you start working in a wide interdisciplinary field that is occupied with so much hype? 

This audiobook, Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't, presents you with a step-by-step approach to data science as well as secrets only known by the best data scientists. It combines analytical engineering, machine learning, big data, data mining, and statistics in an easy-to-digest method. 

Data gathered from scientific measurements, customers, IoT sensors, and so on is very important only when one can draw meaning from it. Data scientists are professionals who help disclose interesting and rewarding challenges of exploring, observing, analyzing, and interpreting data. To do that, they apply special techniques that help them discover the meaning of data. Becoming the best data scientist is more than just mastering analytic tools and techniques. The real deal lies in the way you apply your creative ability like expert data scientists. This audiobook will help you discover that and get you there. 

The goal with Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't is to help you expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. At the end of this audiobook, you will learn how to combine machine learning, data mining, analytics, and programming, and extract real knowledge from data. Get access to this audiobook now if you want to learn more about data science!

©2018 Herbert Jones (P)2018 Herbert Jones

What listeners say about Data Science

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Useful One

The information presented is well-organized, and the visual aids include ample graphs and charts. Section breaks are obvious with well-designed titles. Chapters are easy enough to read but don't over-simplify important concepts.

1 person found this helpful

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Poor narration

Could not determine whether the narrator was a computer or a human who had never heard or spoken many of the words in the book.

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Fundamental Information

This book is packed with fundamental information about data science. I highly recommend this book to all.

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A Perfect book

Both authors practicing data science professionals. Their book outlines practical considerations, explains available tools and techniques, and shows results of many well-chosen models.

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Good One

I'm trying to learn data science, and this book is written incredibly well. 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.

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I Loved It

This book is ideal for anyone looking to understand data science, and especially those who might interact with data scientists at work. Roughly half the book deals with the essential data mining algorithms.

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Highly Recommended

This book gives a really solid grounding in both the business (strategic) and data (analytic, technical) aspects of modern data analytics. The authors clearly show that data is the next wave of change and that it will require a mindset change across all business functions--a mindset they call data-analytic thinking. If you need to master/improve this thinking skill set--here is a great place to start no matter what your job title.

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It is good

I appreciated the accessibility and plain English - albeit thorough - writing (from the perspective of a person who is self-taught in data science and sometimes less acquainted with the terminology).

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Helpful Book

This book is fantastic. it's a perfect mix of high-level explanation and technical details. There doesn't seem to be much to help one actually execute the methods described, but that does not appear to be the author's intent (which is why there is no negative impact on my rating).

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Good One

This book will not make you an expert but at least you will know what the experts are talking about. It is written with just enough math for the non-PhD manager to understand.

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  • fergal
  • 08-02-19

Audio transcript of a Google search

Basically a Google search of data science terms and listed them out in an audio book, nothing additional added, no deeper insights, concepts, examples or case studies. I wouldn't recommend.

1 person found this helpful

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  • Black A
  • 12-02-18

Amazing Book

Finally, a book about data science in which the use of the word 'science' is justified: questions, exploration, models, heavy testing and tuning. This is not a book about technology -it barely mentions Hadoop! Instead, it introduces the thinking and the fundamental ways to solve problems using data (and intelligence).

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  • Lewis Bob
  • 12-01-18

Helpful


I really concentrated on the intro and the section summaries and will keep on the shelf for reference for the more detailed stuff, as and when those topics come up.

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  • Charles
  • 12-01-18

An Eye-Opening

It does not go in depth into mathematics or computer science concepts, rather it grounds the material into a digestible format that anyone can understand. But, overall, it is a handy book for all.