2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale
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Description

Product Description

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software.

This book will help you:

  • Become a contributor on a data science team
  • Deploy a structured lifecycle approach to data analytics problems
  • Apply appropriate analytic techniques and tools to analyzing big data
  • Learn how to tell a compelling story with data to drive business action
  • Prepare for EMC Proven Professional Data Science Certification

Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

From the Inside Flap

Data Science and Big Data Analytics

Discovering, Analyzing, Visualizing and Presenting Data

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities, methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are relevant to any industry and technology environment, and the learning is supported and explained with illustrative examples using open-source software.

This book will help you:

  • Become a contributor on a data science team
  • Deploy a structured lifecycle approach to data analytics problems
  • Apply appropriate analytic techniques and tools to analyze big data
  • Learn how to tell a compelling story with data to drive business action
  • Prepare for EMC ProvenTM Professional Data Scientist certification

EMC Proven™ Professional is a leading education and certification program in the IT industry, providing comprehensive coverage of information storage technologies, virtualization, cloud computing, data science/big data analytics, and more...

Being Proven means investing in yourself and formally validating your expertise!

This book prepares you for the Data Science Associate exam E20-007 leading to EMC Proven Professional Data Science Associate (EMCDSA) certification.

Visit http://education.EMC.com for details.

From the Back Cover

Data Science and Big Data Analytics

Discovering, Analyzing, Visualizing and Presenting Data

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities, methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are relevant to any industry and technology environment, and the learning is supported and explained with illustrative examples using open-source software.

This book will help you:

  • Become a contributor on a data science team
  • Deploy a structured lifecycle approach to data analytics problems
  • Apply appropriate analytic techniques and tools to analyze big data
  • Learn how to tell a compelling story with data to drive business action
  • Prepare for EMC ProvenTM Professional Data Scientist certification

EMC Proven™ Professional is a leading education and certification program in the IT industry, providing comprehensive coverage of information storage technologies, virtualization, cloud computing, data science/big data analytics, and more...

Being Proven means investing in yourself and formally validating your expertise!

This book prepares you for the Data Science Associate exam E20-007 leading to EMC Proven Professional Data Science Associate (EMCDSA) certification.

Visit http://education.EMC.com for details.

About the Author

EMC is a global leader in enabling businesses and service providers to transform their operations and deliver IT as a service. Fundamental to this transformation is cloud computing. Through innovative products and services, EMC accelerates the journey to cloud computing, helping IT departments to store, manage, protect and analyze their most valuable asset — information — in a more agile, trusted and cost-efficient way. Additional information about EMC can be found at www.EMC.com

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4.4 out of 54.4 out of 5
146 global ratings

Top reviews from the United States

Taberino
5.0 out of 5 starsVerified Purchase
I learned a lot.
Reviewed in the United States on June 3, 2018
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... See more
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.
3 people found this helpful
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sepand
1.0 out of 5 starsVerified Purchase
This review is based on print quality not content
Reviewed in the United States on January 29, 2020
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... See more
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 problem
Content wise it seems like a good book 3.5/5
One person found this helpful
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Turist
5.0 out of 5 starsVerified Purchase
Good but this stuff gets depricated so quickly unless this ...
Reviewed in the United States on October 31, 2017
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.
2 people found this helpful
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Angad Dhillon
5.0 out of 5 starsVerified Purchase
more content
Reviewed in the United States on February 2, 2019
I like this book
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LIU Bin
5.0 out of 5 starsVerified Purchase
Big data analytics
Reviewed in the United States on October 13, 2018
One of the best entry level books on big data analytics.
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Amazon Customer
5.0 out of 5 starsVerified Purchase
Need to have resource for the proven Professional Course
Reviewed in the United States on May 6, 2017
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
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Danny
5.0 out of 5 starsVerified Purchase
Five Stars
Reviewed in the United States on October 16, 2017
This book is a great one. I found it easy to read.
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Keith tomes
4.0 out of 5 starsVerified Purchase
This is a pretty decent book that covers a broad spectrum of topics ...
Reviewed in the United States on April 27, 2015
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... See more
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.
10 people found this helpful
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Top reviews from other countries

Nedum
5.0 out of 5 starsVerified Purchase
Good book for the Dell EMC DS associate exam.
Reviewed in the United Kingdom on August 19, 2019
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.
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imeh
5.0 out of 5 starsVerified Purchase
5 star
Reviewed in the United Kingdom on September 3, 2020
Excellent book to read for your data analyst exams
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Mark
5.0 out of 5 starsVerified Purchase
A must have for Dell EMC exam
Reviewed in the United Kingdom on July 26, 2019
Very detailed with code examples
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O M AKIODE
4.0 out of 5 starsVerified Purchase
Excellent
Reviewed in the United Kingdom on January 8, 2020
Excellent
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Cloud, Data and AI Professional
4.0 out of 5 starsVerified Purchase
Four Stars
Reviewed in the United Kingdom on May 8, 2016
Excellent book. Through coverage. Must read for EMC Data Science Associate certification exam.
3 people found this helpful
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2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale

2021 Data sale Science and Big Data Analytics: Discovering, online Analyzing, Visualizing and Presenting Data sale