• Data Analytics

  • Ultimate Guide to Understanding How to Read Data 3 in 1
  • By: Charles Jensen
  • Narrated by: Judy Rounda
  • Length: 3 hrs and 33 mins
  • Unabridged Audiobook
  • Release date: 28-08-17
  • Language: English
  • Publisher: Charles Jensen
  • 4.5 out of 5 stars 4.3 (6 ratings)


Three amazing books in one about analyzing and mining data!
Audiobook 1: 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 they take these practices to the next level

Audiobook 2: Dive into the complicated matter of analyzing and mining for data, correctly. Forget about intuition or assumptions. Data are facts you can rely on, if you draw the right conclusions. Drawing those conclusions requires certain skills and a background in knowledge that leads to the proper steps. This guide will help you along the way by addressing topics such as:

The what and why of data mining, and the different applications to business-related topics
Attributes, classifications, datasets, and types of learning you need to understand to fully be aware of what you are dealing with
Data quality and data quantity thoughts
Data mining process steps, including CRISP-DM and SEMMA
Linear, probabilistic, and other models to use in the visualization and analysis of data you have found
Techniques such as clustering, viewing genetic algorithms, and neural networks
Evaluation analysis strategies, classification, and numeric predictions

Audiobook 3: 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 V's 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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Customer Reviews

Most Helpful
5 out of 5 stars
By Elise Elliot on 20-10-17

I like it very much.

Awesome auido book. All what you need to know in business inelegance and data mining in one book. To the point and it was fun to read and study.

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5 out of 5 stars
By Shane Macapagal on 20-10-17

This is very helpful for me.

Very good audio book. Easy to understand. I feel the data mining tools are very helpful for my research in the area of business.

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Customer Reviews

Most Helpful
5 out of 5 stars
By muzainah on 16-09-17

Best data mining book in business context

This is by far the best Data Mining book that has a business focus. There are 100 data mining books that will tell you how, for example, neural network works. But you will still be blank where and how to apply this.
In short, this is a book that tells you when to use data mining, how to use data mining and how to evaluate the models in a business context. It offers many real business examples. If you are truly interested in data mining solutions for business, this is the book to read.

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2 of 2 people found this review helpful

4 out of 5 stars
By meenachi on 16-09-17

Easy to understand with given real life examples

Would you listen to Data Analytics again? Why?

Over all, I found this book very useful and concise reference for test preparations. It is excellent in covering many practical concepts about data analytics.

Which scene was your favorite?


Did you have an extreme reaction to this book? Did it make you laugh or cry?


Any additional comments?

This book really help me a lot in understanding big data analytics because the contents are easy to absorb, especially with the given real life examples. With the help of this book, everything seem to be easier to connect from one to another. I would recommend this book to others who want to improve their knowledge quickly around the area of data analytics.

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2 of 2 people found this review helpful

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