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

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 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.

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 Most basic stuff of course still holds but rest is outdated.

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

I bought the book as soon as it was published. At that time I was working on a Documentum project ( an EMC software) and I was struggling with their documentation. I hoped that the book will much better , but not the case. Nevertheless, I started reading it and of course I wanted to test the code, some of the data sets were the ones in R, so it was easy to replicate, But for the others I checked the web site of the publisher and what a surprise....they aren't no where to find. I wrote to EMC, but they were no in mood to provide them. They were on the opinion that it will be provided only to associated something.... On my opinion a tech book without code and in this case no data sets is just useless. So I just left the book on my book shelf. A year later I just checked the book here and what a surprise you have the code and the data sets! Good! Let's check them. This year I going to teach R and I really hope that the book will be much helpful for my students.

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

I like this book