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Data Science for Business

How to Use Data Analytics and Data Mining in Business, Big Data for Business
Written by: John Harper
Narrated by: Bode Brooks
Length: 2 hrs and 3 mins

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Publisher's Summary

What defines the success of a business? Is it the number of people employed by the firm? Is it the sales turnover of the business? Is it the strength of the customer base of the firm? Does employee satisfaction play a role in the success of business operations? How does management factor into the overall operational success? How critical is the role of a data scientist in this process? Finally, does fiscal responsibility play any role in the success of any business? 

Data has currently become part and parcel of our everyday lives. It provides us with hidden facts and in-depth meaning through scientific experiments and developing algorithms, making use of all the available knowledge of acquired domains. When it comes to data, there is no longer a shortage. 

There may even be an excess of data if you consider the traffic going through social media, real-time market feeds, transaction details, and elsewhere. The volume of data available for use in the finance sector is almost explosive. Its variety has also expanded, and even the velocity at which the data becomes accessible has sharply risen. This scenario can either take organizations to heights unknown before or leave them dumbfounded from the overwhelming feeling caused by the data influx. 

Given that organizations are in business to succeed, they have learned that the best way to utilize this flood of data is to engage data scientists. A data scientist is a guru who takes the data, explores it from all possible angles, and makes inferences that ultimately help him or her make very informed discoveries. 

©2019 John Harper (P)2019 John Harper

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  • Jackie Gilbert
  • 2019-04-09

This is the best book for understanding data scien

This is the best book for understanding data science. It is written for a college-educated non-mathematician who wants to understand the potential of big data for providing business insights. It includes just enough technical detail so that a SAS or R programmer gets a good enough background to delve into the recommended reference and technical articles that the book suggests.

2 of 2 people found this review helpful

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  • Kevin Hernandez
  • 2019-04-09

Definitely, worth listening

Excellent book. The book breaks down fairly complicated concepts into meaningful
Real world applications. In addition, the book helps blend the two fields of machine learning
And business strategy, making the field more of an art than a formulaic method of solving
Problems. Definitely, worth reading for business strategists, statisticians, and data scientists

1 of 1 people found this review helpful

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  • Richard Ballard
  • 2019-04-09

Simple,straight,useful covers multiple issues.

Very nice listening for those who want to establish a good understanding about data science problems and methods.recommended for junior data scientists.

1 of 1 people found this review helpful

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  • Johnny Arnold
  • 2019-04-09

very clearly written

Lots of helpful information presented in a nice framework. I cited this in my graduate school thesis and used several quotations.

1 of 1 people found this review helpful

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  • Robert H Daniel
  • 2019-04-08

Great book. Thought provoking.

The book explains effective procedures and typicall pitfalls in plain english and with helpful descriptive real world examples.
For proceeding data mining in greater depth it would be not sufficient but to get started and understand data science better its a GREAT BOOK!

1 of 1 people found this review helpful

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  • Irvin Kev
  • 2019-04-08

Very good

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

1 of 1 people found this review helpful

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  • James Luke
  • 2019-04-08

My favorite 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 book is a must. I highly recommend it!

1 of 1 people found this review helpful

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  • Steven
  • 2019-04-07

Good Book to Learn About Big Data

This book addresses the topic of Big Data in a practical, understandable manner. Some books are too technical or the authors seem to be learning as they go. These guys know what they are talking about well enough to really be able to explain it.

1 of 1 people found this review helpful

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  • Crystal D Trujillo
  • 2019-04-07

Very well organized

Very well organized, easy to follow and full of real life examples. I truly recommend this ebook to everyone who's learning how to deal with a big data and big data analytics projects.

1 of 1 people found this review helpful

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  • C Kemp
  • 2019-04-07

Lovely

If you are one of those that is not going to wait till some sits down and teaches you daw science concepts then book is not for you. If you like get your hands dirty and get into meaningful conversations with your data scientists then this book is for you.

1 of 1 people found this review helpful