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Title: Data Analytics

Subtitle: Ultimate Guide to Understanding How to Read Data 3 in 1

Author: Charles Jensen

Narrator: Judy Rounda

Format: Unabridged

Length: 3 hrs and 33 mins

Language: English

Release date: 08-28-17

Publisher: Charles Jensen

Ratings: 5 of 5 out of 27 votes

Genres: Business, Career Skills

Publisher's Summary:

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:

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:

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:

Members Reviews:

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.

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?

N/A

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

No

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.

Great book for providing a high level summary

Great book for providing a high level summary of data science techniques to people that may not care about the mathematical details. I tend to recommend this to people more worried about building up a working knowledge of classic problems and approaches in data science rather than for those wanting to look at page after page of detailed math related to probability distributions. 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!

I learned a lot

This is not a fluffy book. It helped me understand what is possible in data science. It is a good compliment to technical books on or whatever for doing data science. This book is used in Northwestern University's course on machine learning.