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Data Science

What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't
Narrated by: Sam Slydell
Length: 3 hrs and 13 mins
4.5 out of 5 stars (16 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 members say

Average Customer Ratings

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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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Great Compliment

The institution strategy and goals need to be reflected in the procedures used to analyse the data base of the institution and the determination as to what data is relevant.

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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.

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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.

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  • Poppy
  • 12-02-18

Unique Information

This book gives basic fundamentals on why and how a company can adapt data science to gain a competitive edge.

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    5 out of 5 stars
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  • DARCY
  • 12-02-18

Simply The Best

I am a database developer, who also builds data mining models, and I wish more of my company's business managers would read this book! Data is an asset and should be treated as such. I highly recommend this book for business users and anyone wanting to know the fundamentals of data science.

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    5 out of 5 stars
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  • Nathan
  • 12-02-18

Loved It

This book is for people to gain an understanding of what data science truly is and how it can help with business decisions. The authors do a great job of keeping the concepts applicable to actual business events.

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  • Mia Holy Jai
  • 12-02-18

Good Author

The author emphasizes that it is rather "conceptual" than "mathematical", so it is greatly helpful to those without much math and/or statistics background. If you are into learning professional skill or knowledge, it may not be the book but it is still a good book to start if you need a general idea.

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  • Charlie
  • 12-02-18

A good book

This book helps answer what the data science is about. It teaches you what kind of task and analysis you would do if you worked as a data scientist.

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    5 out of 5 stars
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  • Oscar
  • 12-02-18

Great Beginner's Guide


Listening to this while at the same time learning Python. Challenging, but interesting as it gives me insight to an area I thought I knew more about.

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  • IVY
  • 12-02-18

Very Informative

It's a good, but hard read. I'd like to think of myself as above average when it comes to stats and math, but I had to reread several chapters to ensure I had the concept down. More of a book around machine learning. Still a good read, just take your time with it.

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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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  • Scarlett Tom
  • 12-02-18

It is Well Written

I use this book for the explanation of concepts in a way someone with a business background (vs a comp-sci background) can understand.