Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life

by Arthur Zhang

This practical guide is accessible for the reader who is relatively new to the field of data analytics, while still remaining robust and detailed enough to function as a helpful guide to those already experienced in the field. Data science is expanding in breadth and growing rapidly in importance as technology rapidly integrates ever deeper into business and our daily lives. The need for a succinct and informal guide to this important field has never been greater.


This coherent guide covers everything you need to know on the subject of data science, with numerous concrete examples, and invites the reader to dive further into this exciting field. Students from a variety of academic backgrounds, including computer science, business, engineering, statistics, anyone interested in discovering new ideas and insights derived from data can use this as a textbook. At the same time, professionals such as managers, executives, professors, analysts, doctors, developers, computer scientists, accountants, and others can use this book to make a quantum leap in their knowledge of big data in a matter of only a few hours. Learn how to understand this field and uncover actionable insights from data through analytics.


































































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280 pages, Paperback

Published March 10, 2017

Reviews

[Mehrdad Mahrooghi · Rating 1 out of 5]

I never give bad reviews, but this book was so bad it made me unlock the "give 1 star rating on good reads" achievement in my life.
Uselessness bordered on books I read back in school days.
There were 0 practical examples on anything. It was like the author just copied and pasted the first paragraph of a bunch of interrelated topics and called it a book!

[Matthew · Rating 3 out of 5]

If you want a non-practical, purely theoretical, treatment on the topic of Data Analytics and its relation to Big Data, then go ahead and read this book. If you already walk in that park, this will be an annoying book to take a stroll in. Maybe a high schooler could read it when thinking about a career.

[Anand kumar singh · Rating 4 out of 5]

Good read with practical use cases across industries and verticals.

I liked the use cases across business functions, concepts and terms. Would have loved to see real life examples with measureable business benefits

[Ananya · Rating 3 out of 5]

An introductory guide to the broad topic of Data Analytics and it’s uses. A theory only book for a beginner to get an idea

[Farhan Erdiansyah · Rating 2 out of 5]

Man, this more like interrelated between all of the main ideas. Everything is too simplified and so theoretical. 2/10 Infeasible, the book itself doesn't explain the branches of analytics, data, etc. All-in-one on surface.