Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data 1st Edition, Kindle Edition

Great book. I purchased to study for the Dell EMC DECA-DS certification, formerly “EMCDSA”. The book uses mostly R code examples which are great and understandable, but it did require me learning a little bit of R to fully comprehend. I come from a Python background and would have preferred more Python examples. There is very little Python based examples, mostly just for text mining. The book does get into Hadoop and related tools, but really at more of a theoretical level or basic overview.

Some pages, where it has code, the print is not as clear as it should be, maybe I got a bad print but its hard to read the codes. The first picture shows code font that has shadows (it looks better on camera than in front of you). the second is a picture that although is for an overview its just messy. the third pic is from a code line that has no problemContent wise it seems like a good book 3.5/5

Good but this stuff gets depricated so quickly unless this books gets updated every six months it is better to follow online courses and material. Most basic stuff of course still holds but rest is outdated.

I like this book

One of the best entry level books on big data analytics.

Excellent book for completing the Data Science and Big Data Analytics Dell EMC Proven Professional Course. It is an excellent reference for any Data Analytics project

This book is a great one. I found it easy to read.

This is a pretty decent book that covers a broad spectrum of topics including the the analytics life cycle, a brief but concise intro to R, to covering most of the advanced methods for analysis (k-means, linear regression, Naive Bayes, etc). It doesn't shy away from the math - but doesn't overwhelm either and, for the most part, is a fairly easy read. It should be treated as a reference and as a guide for the EMCDSA (EMC Data Science Associate) certification. There are probably better books for those just wading into data science but definitely worth adding to your library. For those who are complaining about no companion code examples it was an easy download from the Wiley website.

If you plan to take the Dell EMC Data Science Associate exam, you will benefit from studying this book. It is also a good introduction to Big data, advanced analytic and big data tool.

Excellent book. Through coverage. Must read for EMC Data Science Associate certification exam.

Very detailed with code examples

Excellent

Concepts are very well articulated with supporting theoretical, practical and visual interpretations.Examples provided are in R.A must read for a Data Scientist Beginner - it clears all the concepts which otherwise one may struggle to find elsewhere.

Suppose that you have two or three degrees in Statistics or maybe not even one. One way or another you know R and SAS. You also know Matlab and Excel. But what you really know is theory, and that's what got you your credentials. If you want to know what Data Science is all about, and you want to be able to pin down that catch phrase Big Data in terms of what you may already know, then this is the book for you. Written by a professional team from EMC Corporation this book outlines and fulfills the topics necessary to obtain the Professional Data Scientist certification. Whether you actually want this certification or not this book will deliver the most accurate depiction of what the field of Data Science is all about. In short it will tell you what you already know and can use as well as what you need to learn.

If you are preparing for the associated certification or merely want to learn the fundamentals of data analytics, whether small data or big data, this is a concise and approachable introduction.

Superb in dept topics covere on Data Science and Big Data. Lovely book with discount coupon for EMC exams too

Precise and perfect explanation...No lecturer required to teach data science if you read this book...

Los ejemplos del libro donde se muestran las respuesta de los comandos de R utilizados presentan las columnas desordenadas, de forma que resultan completamente ininteligibles. Una lástima porque el libro es bastante bueno.

amazing ...extermly lovely print and good explanation ...EMC you are too good to publish a book like this

This book has explained the required concepts in a well presentable manner. But if any one is looking for deep concepts then the person has to follow some other books.

generally good, could be more lucid and explain R examples by comparing data handling with typical RDBMS concepts

This book is very useful for the one who wants to start a career in Datascience, own it and start a new beginning

Plenty of examples using the datasets, but it is nowhere mentioned where to download them, especially for the third chapter yearly_sales dataset.