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Data Analytics

Business and Science Guide for Beginners and the Advanced 2 in 1
Narrated by: Judy Rounda
Length: 2 hrs and 28 mins
Categories: Business, Career Skills
3 out of 5 stars (10 ratings)

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Publisher's Summary

Two exact books in one about the science of analyzing data for business.

Book one: Learn more about how to analyze data now! 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. You'll learn, among others:

  • What the big deal with big data is and what to do with them
  • Fundamentals, risks, and strategies to analyze data
  • Social network data analysis
  • Applications to health care, business, and industrial data
  • Tips on analyzing decision trees, regression, and sentiment

The most important basics each analytical geek wants to know before takes these practices to the next level.

Book two: Explore the field of data science, and the way to analyze big and small data. This technical book goes over the main aspects of analyzing data correctly by using various strategies you need to implement in order to get results that are precise and beneficial. Learn about:

  • Modeling data and visualization
  • The three Vs of big data and what to do with them
  • Software recommendations and applications
  • Machine algorithms and interesting side notes regarding them
  • Rules, infrastructure, adaptation, and other techniques
  • Perception and cognition basics that apply to data
  • Efficient uses of regression, database querying, machine learning, and data warehousing

©2017 Charles Jensen (P)2017 Charles Jensen

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Data analysis guide book

Being in a manufacturing company is a tough one since competition is high and some raw materials are imported that's why I can't afford a single No Good label. This book gives me a better idea how to focus more on better production by simply checking those data and finalizing what should be apply, and what should be remove. Data are important. We are in advance technology time where we can take advantage of technologies in our hand.

1 of 1 people found this review helpful

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Lots of facts on this book

There's a lot of information in this book. Definitely one you have to pay close attention to, but much better than reading from a physical book. Analyzing data helps us identify the market trend and will help us decide either to expand the business, to make changes or not with less risks on our part.

1 of 1 people found this review helpful

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AWESOME BUNDLE

Data analytics is a must have in any business. This book provides a comprehensive guide in analyzing your business from top to bottom. I like how it utilizes business world examples in many of the topics discussed. A lot of inexperience businesses fail not because they do not have data analytics, but because they can't pinpoint or find the cause of why their businesses didn't succeed. Data analytics explains why businesses fail, succeed, and finds useful trends to your advantage. I love this book and recommend it to anyone.

1 of 1 people found this review helpful

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Should not be in audible

Terrible reading , feels like a robot not recommended for an audiobook maybe a good paper reading should be removed from offering

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Superficial information with poor narration

What can you expect in a 2 hour book. The Author just mentions some concept without going into the details and moves on to next topic, while you end up wondering what was the author talking about. The audio quality of the narration is very poor and the reader reads in a monotonic voice, which makes it hard to stay focused on the content.

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Very redundant. Nonengaging speaker

Very redundant. Nonengaging (robotic) speaker. 2nd part extremely high level and could be condensed into a common Wikipedia search. Worst book I've read actually.

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Downright awesome

This book is downright awesome. I have read this book twice and I can vouch for every single page of this book to be invaluable. If you are not a statistician but would like to grasp the key fundamentals of data science, look no further. Grab this book and read cover to cover.

1 of 2 people found this review helpful