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Data Analytics: An Essential Beginner’s Guide To Data Mining, Data Collection, Big Data Analytics For Business, And Business Intelligence Concepts
Say goodbye to scratching your head in confusion
This data analytics book could be the answer you're looking for...
This book has lots of valuable eye-opening information about data analytics, which will help you understand the concept of data mining, data collection, big data analytics for business and business intelligence concepts.
With this book, not only will you understand all the internal nitty-gritties about data analytics, you will also understand why data analytics is changing the business arena. You’ll realize that the high-performance analytics will enable you to do stuff that you never thought about before probably because the volumes of data were just too big (among other reasons) and so much more.
We’ll begin by first examining what data analytics really means and what it entails. Do not fret when you meet challenging terms as you read on, as this book includes detailed explanations of words you may not understand.
Here are just some of the topics that are discussed within this
Get the book now and learn more about data analytics!
This data analytics book could be the answer you're looking for...
This book has lots of valuable eye-opening information about data analytics, which will help you understand the concept of data mining, data collection, big data analytics for business and business intelligence concepts.
With this book, not only will you understand all the internal nitty-gritties about data analytics, you will also understand why data analytics is changing the business arena. You’ll realize that the high-performance analytics will enable you to do stuff that you never thought about before probably because the volumes of data were just too big (among other reasons) and so much more.
We’ll begin by first examining what data analytics really means and what it entails. Do not fret when you meet challenging terms as you read on, as this book includes detailed explanations of words you may not understand.
Here are just some of the topics that are discussed within this
Get the book now and learn more about data analytics!
88 pages, Paperback
Published February 4, 2018
39 people are currently reading
29 people want to read
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Displaying 1 - 2 of 2 reviews
September 20, 2018
Essential Beginner means as the author you've set up the scene to say the basics and get away with it. So some basics are there: some definitions of analytics, data analysis, big data, types on analytics, data mining and warehousing. For the hour I spent reading it, I got some information covering analytics types and a lifecycle diagram - that's why I've given ** and not *.
I was generous, and deserve a single * myself for buying this book.
This is not a good book and it feels like a "fake" book in the words of our times:
* As a book on analytics defined as insights derived from raw data, there are no real insights here - simply the first page of Wikipedia on most of the term I've listed above.
* The scope of 108 pages out of which 16 pages (!) are a preview to the next book about blockchain is very limited. Considering one chapter is simply ads on commercial solutions one can find on the first page of google (chapter 2) and one includes the same diagram (really...) that takes a full page 10 (!) times, and the pages before were half blank to fit the diagram in a full page - it seems the Author harvests pages. I do not really care about the claimed 120 pages getting < 80 if the existing content would be useful.
* The book is full of expressions like "As you may have realized already", "As you already know", "I believe you are now well acquainted with some of the most common terms" - bluntly stating the obvious. Really, too much scrambling.
* Lastly, and I apologize for being harsh here, the book is not interesting. The few "real" samples are so broad, short and generic, and the book seems like a very unimaginative effort to inspire beginners to explore the fascinating world of Data Analytics.
I'm fine with the Author trying to write shallow "quick manuals" on trendy topics - but would recommend any serious reader looking for an honest beginner guide to look elsewhere.
I was generous, and deserve a single * myself for buying this book.
This is not a good book and it feels like a "fake" book in the words of our times:
* As a book on analytics defined as insights derived from raw data, there are no real insights here - simply the first page of Wikipedia on most of the term I've listed above.
* The scope of 108 pages out of which 16 pages (!) are a preview to the next book about blockchain is very limited. Considering one chapter is simply ads on commercial solutions one can find on the first page of google (chapter 2) and one includes the same diagram (really...) that takes a full page 10 (!) times, and the pages before were half blank to fit the diagram in a full page - it seems the Author harvests pages. I do not really care about the claimed 120 pages getting < 80 if the existing content would be useful.
* The book is full of expressions like "As you may have realized already", "As you already know", "I believe you are now well acquainted with some of the most common terms" - bluntly stating the obvious. Really, too much scrambling.
* Lastly, and I apologize for being harsh here, the book is not interesting. The few "real" samples are so broad, short and generic, and the book seems like a very unimaginative effort to inspire beginners to explore the fascinating world of Data Analytics.
I'm fine with the Author trying to write shallow "quick manuals" on trendy topics - but would recommend any serious reader looking for an honest beginner guide to look elsewhere.
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Displaying 1 - 2 of 2 reviews