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Data Analyses: Detailed, Scientific, and Business-Oriented Data Reading Skills

Narrated by: Ryan Simpson
Length: 4 hrs and 24 mins
4.5 out of 5 stars (34 ratings)
Regular price: £13.79
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Summary

An extensive guide to help you analyze data more effectively. 

Learn more about how to analyze data now! Explore the field of data science and the way to analyze big and small data. This elaborate guide will take you on a journey to multiple aspects of this skill. There is a trick, a science, to doing it the right way, and some of the most important secrets will be revealed in the chapters ahead of you. Dive into the complicated matter of analyzing and mining for data correctly. Forget about intuition or assumptions. 

You’ll learn, among others:

  • Linear, probabilistic, and other models to use in the visualization and analysis of data you have found.
  • Systems such as clustering, viewing genetic algorithms, and neural methods.
  • Assessment analysis strategies, organization, and numeric predictions.
  • Modeling data and imagining.
  • The three Vs of big data and what to do with them.
  • Software recommendations and applications.
  • What to do exactly with big data.
  • Basics, risks, and tactics to analyze data.
  • Social network data analysis.
  • Purposes for health care, business, and industrial data.
  • Tips on analyzing decision trees, regression, and sentiment.
  • Attributes, classifications, data sets, and kinds of learning you must recognize to fully be aware of that with which you are dealing.
  • Data quality and data quantity thoughts.
  • Data-mining procedure steps, including CRISP-DM and SEMMA.
  • Machine algorithms and interesting sidenotes regarding them.
  • Instructions, infrastructure, edition, and other methods.
  • Perception and cognition basics that apply to data.
  • Effectual uses of regression, database querying, machine learning, and data warehousing.

Data creates truths you can trust in if you draw the right conclusions. Drawing those conclusions involves clear skills and a background in information that leads to the correct steps. If this is up your alley, the best thing to do for you right now is to start listening. 

Add this audiobook to cart now!

©2018 Benjamin Farrar (P)2018 Benjamin Farrar

What members say

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  • Overall
    5 out of 5 stars
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    5 out of 5 stars

Benjamin Farrar nailed it

He did an excellent job explaining data science, business-related analytics, and much more. Very good.

8 of 8 people found this review helpful

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    4 out of 5 stars

Social network data analyses

Those were the most important to me, considering what I do for a living. Besides that there are many other useful tips in here.

7 of 7 people found this review helpful

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Informational

The information in this book was clear and concise, and every pint was well-explained, so I have no complaints.

5 of 5 people found this review helpful

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I enjoyed this book

I would recommend this data science book to all who are in that industry and are trying to read or create statistics.

4 of 4 people found this review helpful

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I liked it

I have no complaints about this book, so in a way, it was almost perfect. The narrator did a great job reading the stats and other things in there.

4 of 4 people found this review helpful

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Very interesting

This book about data analytics is a great source of information for those who are in this industry or try to prepare for a job in that field.

3 of 3 people found this review helpful

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Facts and figures

I liked this book I was actually really surprised about how accurate and advanced the different methods were and how well they were described.

2 of 2 people found this review helpful

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    4 out of 5 stars
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Good one

I enjoyed it. Great narrator, good content, and just.... great everything. Nothing to whine about. Thanks.

2 of 2 people found this review helpful

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    5 out of 5 stars
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Detialed

There are a lot of details in there and a lot of scientific explanations you can use. Good book.

1 of 1 people found this review helpful

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Thank you!

Thank you, author and narrator, for putting this high quality informational book together. It's a really good book.

1 of 1 people found this review helpful

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  • James
  • 01-12-18

Analyze me!

Haha! I was right on track when I got this book. I thought it was a joke, but hey, not I see the value. I am happy about my purchase.

21 of 21 people found this review helpful

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  • Anonymous User
  • 01-12-18

Machine learning in a nutshell

Machine learning is only one of the things that has been explained in this in a comprehensible manner. It's an elaborate book.

21 of 21 people found this review helpful

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  • Anonymous User
  • 27-11-18

These are Great!

Detailed, science, and analysis oriented facts and information. Ha! I almost sound like the subtitle. I didn't realize that. But seriously, great book. Great deal. No problems whatsoever.

19 of 19 people found this review helpful

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  • Anonymous User
  • 01-12-18

More info

I thought everything I learned in college was it, but there is so much more to explore. This data analytics book grabs the bull by the horns.

16 of 16 people found this review helpful

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    5 out of 5 stars
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  • Derrick Perri
  • 01-12-18

Data business

Nowadays, businesses are driven by understanding data. If you want to become an analyst for some big company, this is your start, this book.

13 of 13 people found this review helpful

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  • Anonymous User
  • 01-12-18

Fun and scientific

In a way, it is all about science. Data analysis is all about reading and understanding the data. I think this book explained this very well.

11 of 11 people found this review helpful

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    4 out of 5 stars
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  • Anonymous User
  • 01-12-18

Interesting book

I liked it and I learned much about analyzing numbers and statistics. It's a valuable book.

6 of 6 people found this review helpful

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  • Jerry
  • 03-12-18

Perfect

Data science is more important than ever before. I've learned a lot from this practical and theoretical book.

4 of 4 people found this review helpful

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  • Anonymous User
  • 03-12-18

Data

Information about data analyses is one of the most crucial things in today's technological society. I learned a lot I can use in my own profession.

2 of 2 people found this review helpful

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    5 out of 5 stars
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  • Anonymous User
  • 07-12-18

Benjamin Farrar had it

He had it all lined up and he knew what he was talking about when he wrote this. Good job, Benjamin.