Practical Data Analysis - Second Edition

Hector Cuesta, Dr. Sampath Kumar

• Editorial: Packt Publishing
• Año: 2016
• ISBN:
  9781785286667
• Edición: 2
• Categoría: Informatica
• Categoría: Informatica generale

A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache SparkAbout This Book• Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data• Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images• A hands-on guide to understanding the nature of data and how to turn it into insightWho This Book Is ForThis book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed.What You Will Learn• Acquire, format, and visualize your data• Build an image-similarity search engine• Generate meaningful visualizations anyone can understand• Get started with analyzing social network graphs• Find out how to implement sentiment text analysis• Install data analysis tools such as Pandas, MongoDB, and Apache Spark• Get to grips with Apache Spark• Implement machine learning algorithms such as classification or forecastingIn DetailBeyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service.This book explains the basic data algorithms without the theoretical jargon, and you'll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.Style and approachThis is a hands-on guide to data analysis and data processing. The concrete examples are explained with simple code and accessible data.

Practical Data Analysis - Second Edition

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Practical Data Analysis - Second Edition

Copyright © 2016 Packt Publishing

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First published: October 2013

Second published: September 2016

Production reference: 1260916

Published by Packt Publishing Ltd.

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ISBN 978-1-78528-971-2

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Credits

Authors Hector Cuesta Dr. Sampath Kumar	Copy Editor Safis Editing
Reviewers Chandana N. Athauda Mark Kerzner	Project Coordinator Ritika Manoj
Commissioning Editor Amarabha Banarjee	Proofreader Safis Editing
Acquisition Editor Denim Pinto	Indexer Tejal Daruwale Soni
Content Development Editor Divij Kotian	Production Coordinator Melwyn Dsa
Technical Editor Rutuja Vaze	Cover Work Melwyn Dsa

About the Authors

Hector Cuesta is founder and Chief Data Scientist at Dataxios, a machine intelligence research company. Holds a BA in Informatics and a M.Sc. in Computer Science. He provides consulting services for data-driven product design with experience in a variety of industries including financial services, retail, fintech, e-learning and Human Resources. He is an enthusiast of Robotics in his spare time.

You can follow him on Twitter at https://twitter.com/hmCuesta.

I would like to dedicate this book to my wife Yolanda, and to my wonderful children Damian and Isaac for all the joy they bring into my life. To my parents Elena and Miguel for their constant support and love.

Dr. Sampath Kumar works as an assistant professor and head of Department of Applied Statistics at Telangana University. He has completed M.Sc., M.Phl., and Ph. D. in statistics. He has five years of teaching experience for PG course. He has more than four years of experience in the corporate sector. His expertise is in statistical data analysis using SPSS, SAS, R, Minitab, MATLAB, and so on. He is an advanced programmer in SAS and matlab software. He has teaching experience in different, applied and pure statistics subjects such as forecasting models, applied regression analysis, multivariate data analysis, operations research, and so on for M.Sc. students. He is currently supervising Ph.D. scholars.

About the Reviewers

Chandana N. Athauda is currently employed at BAG (Brunei Accenture Group) Networks—Brunei and he serves as a technical consultant. He mainly focuses on Business Intelligence, Big Data and Data Visualization tools and technologies.

He has been working professionally in the IT industry for more than 15 years (Ex-Microsoft Most Valuable Professional (MVP) and Microsoft Ranger for TFS). His roles in the IT industry have spanned the entire spectrum from programmer to technical consultant. Technology has always been a passion for him.

If you would like to talk to Chandana about this book, feel free to write to him at info @inzeek.net or by giving him a tweet @inzeek.

Mark Kerzner is a Big Data architect and trainer. Mark is a founder and principal at Elephant Scale, offering Big Data training and consulting. Mark has written HBase Design Patterns for Packt.

I would like to acknowledge my co-founder Sujee Maniyam and his colleague Tim Fox, as well as all the students and teachers. Last but not least, thanks to my multi-talented family.

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Preface

Practical Data Analysis provides a series of practical projects in order to turn data into insight. It covers a wide range of data analysis tools...