Data Modeling Design category: 403 books

Cover of Big Data Now: Current Perspectives from O'Reilly Radar
by O'Reilly Radar Team
Language: English
Release Date: August 30, 2011

This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly...
Cover of Spreadsheets To Cubes (Advanced Data Analytics for Small Medium Business)
by alasdair gilchrist
Language: English
Release Date: July 31, 2017

How can a small medium business build a data analytical platform that is affordable and capable for data science? Business Intelligence and advanced data analytic need not be out with the resources of small medium businesses. Too often Data Science technology is considered to be only advantages and...
Cover of Creating a Data-Driven Organization

Creating a Data-Driven Organization

Practical Advice from the Trenches

by Carl Anderson
Language: English
Release Date: July 23, 2015

What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in...
Cover of Principles of Data Science
by Sinan Ozdemir
Language: English
Release Date: December 16, 2016

Learn the techniques and math you need to start making sense of your data About This Book Enhance your knowledge of coding with data science theory for practical insight into data science and analysis More than just a math class, learn how to perform real-world data science tasks with R and Python Create...
Cover of Practical Data Science Cookbook - Second Edition
by Prabhanjan Tattar, Tony Ojeda, Sean Patrick Murphy
Language: English
Release Date: June 29, 2017

Over 85 recipes to help you complete real-world data science projects in R and Python About This Book Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data Get beyond the theory and implement real-world projects in data science using R and...
Cover of Analyzing the Analyzers

Analyzing the Analyzers

An Introspective Survey of Data Scientists and Their Work

by Harlan Harris, Sean Murphy, Marck Vaisman
Language: English
Release Date: June 10, 2013

Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine...
Cover of Mastering Python Design Patterns
by Sakis Kasampalis
Language: English
Release Date: January 28, 2015

This book is for Python programmers with an intermediate background and an interest in design patterns implemented in idiomatic Python. Programmers of other languages who are interested in Python can also benefit from this book, but it would be better if they first read some introductory materials that explain how things are done in Python.
Cover of Hands-On Data Science and Python Machine Learning
by Frank Kane
Language: English
Release Date: July 31, 2017

This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book Take your first steps in the world of data science by understanding the tools and techniques of data analysis Train...
Cover of Jupyter for Data Science
by Dan Toomey
Language: English
Release Date: October 20, 2017

Your one-stop guide to building an efficient data science pipeline using Jupyter About This Book Get the most out of your Jupyter notebook to complete the trickiest of tasks in Data Science Learn all the tasks in the data science pipeline—from data acquisition to visualization—and implement...
Cover of Data Science From Scratch Using R

Data Science From Scratch Using R

Step by Step Guide For Beginners

by Alain Kaufmann
Language: English
Release Date: May 26, 2018

Are you thinking of learning more about Machine Learning using R? The overall aim of this book is to give you an overview of the data science applications using R. Data science is the practice of transforming data into knowledge, and R is the most popular open-source programming language...
Cover of Hands-On Data Analysis with NumPy and pandas

Hands-On Data Analysis with NumPy and pandas

Implement Python packages from data manipulation to processing

by Curtis Miller
Language: English
Release Date: June 29, 2018

Get to grips with the most popular Python packages that make data analysis possible Key Features Explore the tools you need to become a data analyst Discover practical examples to help you grasp data processing concepts Walk through hierarchical indexing and grouping for data analysis Book Description Python,...
Cover of What Is Data Science?
by Mike Loukides
Language: English
Release Date: April 10, 2011

We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many...
Cover of Data Analysis with R, Second Edition

Data Analysis with R, Second Edition

A comprehensive guide to manipulating, analyzing, and visualizing data in R, 2nd Edition

by Anthony Fischetti
Language: English
Release Date: March 28, 2018

Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. Key Features Analyze your data using R – the most powerful statistical...
Cover of Splunk: Enterprise Operational Intelligence Delivered
by Betsy Page Sigman, Erickson Delgado, Josh Diakun
Language: English
Release Date: February 28, 2017

Demystify Big Data and discover how to bring operational intelligence to your data to revolutionize your work About This Book Get maximum use out of your data with Splunk's exceptional analysis and visualization capabilities Analyze and understand your operational data skillfully using this end-to-end...
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