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Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners

Narrated by: Sam Slydell
Length: 5 hrs and 18 mins
4.4 out of 5 stars (59 ratings)

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Summary

Do you want to expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues? Exploring this audiobook could be a step in the right direction.

Discover two comprehensive manuscripts in one audiobook:

  • Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't
  • Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, and Machine Learning for Beginners

Part one of this audiobook will cover topics such as:

  • What data science is
  • What it takes to become an expert in data science
  • Best data mining techniques to apply in data
  • Data visualization
  • Logistic regression
  • Data engineering
  • Machine learning
  • Big data analytics
  • And much more!

Part two of this audiobook will discuss the following topics:

  • How big data works and why it is so important
  • How to do an explorative data analysis
  • Working with data mining
  • How to mine text to get the data
  • Some amazing machine learning algorithms to help with data science
  • How to do data modeling
  • Data visualization
  • How to use data science to help your business grow
  • Tips to help you get started with data science
  • And much, much more!

So listen 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: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners

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muddled

I felt like this was all over the place both in terms of content and level of detail / granularity for the sections. Some sections were really detailed while others were extremely sparse and some sounded like they had just been lifted off a Google search and weren't really tied in.

3 people found this helpful

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So Knowledgeable

I have read several books on data mining and information processing, but this was the first very good overview of the process and it was written in clear, easy to understand language. It talks more about the process than the technology but ties the two together to show how a business solution would be put together.

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A Blessing

This audiobook is very direct and easy to read (for a data science book), Ties data science into real-world business scenarios, Gives basic fundamentals on why and how a company can adapt data science to gain a competitive edge.

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Its Good

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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Simply The Best

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. 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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Very Enlightening

It's an excellent, even mandatory book for your Data Science shelf. I am glad I bought it

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Well Written

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

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Grea Tips

I'm trying to learn data science, and this book is written incredibly well. It gives an overview at a level that 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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Handy Guide

This book really helps me understand major data science concepts as I work in tech and constantly interface with a technical data science product + data business contacts.

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Exceptional

A well structured and well-written introduction to this important subject. Clear examples are used and the fundàmentals reinforced in many places. Of special interest is the example proposal and evaluation in the appendix. A warning, this will really only make sense by listening to the book.

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  • Alejandro
  • 24-02-19

There is no negative or zero stars. Bad

this is the worst audio book I have ever acquired from audible. it is a compendium of stock phrases taken from some random Web sites,

2 people found this helpful

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  • Amanda
  • 27-02-19

Skip it

This book is too deep for the complete novice and does not have any depth for the armchair data scientist. Though I did not like the book, I went back to listen and try to think who I thought the correct audience is. I don’t think there is one.

4 people found this helpful

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  • Gamble
  • 04-11-19

Excellent starter course

This wasn't exactly what I was thinking it was, but it turned out to be something that I feel I needed. Happy that I bought it anyway.

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  • Navarro
  • 04-11-19

Recommended reading for newbies

The book is an introduction into machine learning techniques that covers many of the topics like; Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business without going into many detailed explanations.

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  • Watson
  • 04-11-19

Good entry level book for high level concepts

I will need a second pass on the book, but I think it gave a great introduction to the world of machine learning including; Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business.

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    5 out of 5 stars
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  • Booker
  • 04-11-19

Learn ML with ease here.

I want to tell everybody; this book is really great for who really wants to jump in the ML field. Lots of real-world outlines; a perfect example is one of the best features of the book.

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    5 out of 5 stars
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  • Archer
  • 04-11-19

Great introduction at the right time.

New to Data Science but have done programming in previous jobs. I found this book extremely helpful. It gives a great introduction to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business, and Machine Learning for Beginners while urging your curiosity to explore and learn more. Love it.

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  • Douglas
  • 02-11-19

The Ultimate Guide to Data Analytics

This is the first Machine Learning book I’ve got. The author knows his stuff but doesn’t mind slowing down and explaining what it all means in a well thought out way.

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    5 out of 5 stars
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  • Reeves
  • 02-11-19

The right level for me

I want to say that this book is perfect if you exclude the exercises well. In my opinion, It's balanced with audio and provides a high-level overview of concepts, models, etc.

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  • Sanders
  • 02-11-19

A straightforward book.

You will not waste your time with understanding the fundamental mathematics and instead leverages the use of publicly available Python libraries. The math of Machine Learning can easily be intimidating, and I commend the authors from shying away from it.