• Data Science for Business: The Complete Guide to Using Data Analytics and Data Mining in Business

  • By: J.F Thompson
  • Narrated by: Weston Gritt
  • Length: 1 hr and 52 mins
  • Unabridged Audiobook
  • Release date: 04-27-18
  • Language: English
  • Publisher: J.F. Thompson
  • 4.5 out of 5 stars (30 ratings)

Regular price: $6.95

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Publisher's Summary

Data Science For Business: The Complete Guide To Using Data Analytics and Data Mining in Business

How do you define the success of a company? It could be by the number of employees or level of employee satisfaction. Perhaps the size of the customer base is a measure of success or the annual sales numbers. How does management play a role in the operational success of the business? How critical is it to have a data scientist to help determine what’s important? Is fiscal responsibility a factor of success? To determine what makes a business successful, it is important to have the necessary data about these various factors. You might be looking to get a better grasp of data analytics to use in your own business. Alternatively, you might be looking for more information on the field so as to launch a career as a data analyst. Well, this book can certainly help you out in both ways. 

Here's a preview of what you'll learn:

  • Data analytics explained 
  • Methodologies of data analytics
  • Importance of data data science and data analytics
  • Foundation of data analytics
  • Data gathering and mining connecting data analytics to the outcomes of a business
  • And much more

Get your copy now!

©2018 J.F. Thompson (P)2018 J.F. Thompson

What members say

Average Customer Ratings

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Awesome and strategic

Awesome explanations of methods and debate about Data Science. I easily understand it. This audiobook is great to listen with. Highly recommended for beginners too!

1 of 1 people found this review helpful

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NICE ONE

I needed this audiobook for a class, but I would tell you that it is one of the most valuable that I have purchased. A must have if you are thinking about a data analytics or data science career.

1 of 1 people found this review helpful

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This audiobook is fantastic.

This audiobook 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). Good book to listen with!

1 of 1 people found this review helpful

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Good five star

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!

1 of 1 people found this review helpful

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Well done

A well structured and well explaned introduction to this important subject. Clear examples are used and the fundamentals 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 this the book.

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Recommended!

Highly recommended. It's a very good audiobook. I like listening to it. There is no complicated mathematical formula in it which makes it very easy to listen and understand.

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You NEED this book!

This is a great audiobook for both beginners and experts. Gives an overview and in depth of the concepts on a broad level. This will help with the theoretical knowledge however the concepts can be implemented using any programming language like python.

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Excellent Book

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. It's a very detailed audiobook and the narrator explained it well thru pronouncing it correctly.

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Helpful

Best audiobook on this topic I've read. Superior in all respects. Greatly reduces the learning curve, and demystifies the concepts.

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very good

Excellent audio book with the right balance of technical information and business applications. I like it very much.