Data Processing category: 1302 books

Cover of Planning for Big Data
by Edd Wilder-James
Language: English
Release Date: March 12, 2012

In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to make your organization both more competitive and more innovative. As this emerging field transitions...
Cover of A Beginners Guide to Hard Drive Recovery
by Jesse Vialo
Language: English
Release Date: February 1, 2013

This book covers several topics including: Chapter 1: The Process Of Recovering The Data Chapter 2: Data Recovery Of External Drives Like Usb Chapter 3: Free Hard Drive Data Recovery Software Chapter 4: Data Recovery Of Ibm Drive Chapter 5: Hard Disk Drive Data Recovery Chapter 6: Hard Drive...
Cover of Practical Statistics for Data Scientists
by Peter Bruce, Andrew Bruce
Language: English
Release Date: May 10, 2017

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science,...
Cover of Multi-Domain Master Data Management

Multi-Domain Master Data Management

Advanced MDM and Data Governance in Practice

by Mark Allen, Dalton Cervo
Language: English
Release Date: March 21, 2015

Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference...
Cover of Regression Analysis with R

Regression Analysis with R

Design and develop statistical nodes to identify unique relationships within data at scale

by Giuseppe Ciaburro
Language: English
Release Date: January 31, 2018

Build effective regression models in R to extract valuable insights from real data Key Features Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values From Simple Linear Regression to Logistic Regression...
Cover of Data Recovery

Data Recovery

In This Compelling Block-Buster Guide Discover Data Recovery Software, Data Recovery Service, Computer Data Recovery, Data Recovery Program, Professional Data Recovery

by David Ritchie
Language: English
Release Date: May 23, 2013

Discover crucial tips for data recovery and maximizing the life of your computer with this insider's guide on data recovery software, data recovery servicde, computer data recovery, data recovery program, professional data recovery and more
Cover of High Impact Data Visualization with Power View, Power Map, and Power BI
by Adam Aspin
Language: English
Release Date: June 24, 2014

High Impact Data Visualization with Power View, Power Map, and Power BI helps you take business intelligence delivery to a new level that is interactive, engaging, even fun, all while driving commercial success through sound decision-making. Learn to harness the power of Microsoft’s flagship, self-service...
Cover of Core Concepts in Data Analysis: Summarization, Correlation and Visualization
by Boris Mirkin
Language: English
Release Date: April 5, 2011

Core Concepts in Data Analysis: Summarization, Correlation and Visualizationprovides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data...
Cover of Data Analysis and Harmonization
by Jeff Voivoda
Language: English
Release Date: March 25, 2011

For organizations, its imperative to have the ability to analyze data sources, harmonize disparate data elements, and communicate the results of the analysis in an effective manner to stakeholders. Created by certified enterprise data architect Jeff Voivoda, this simple guide to data analysis and...
Cover of The Data Journalism Handbook

The Data Journalism Handbook

How Journalists Can Use Data to Improve the News

by Jonathan Gray, Lucy Chambers, Liliana Bounegru
Language: English
Release Date: July 12, 2012

When you combine the sheer scale and range of digital information now available with a journalist’s "nose for news" and her ability to tell a compelling story, a new world of possibility opens up. With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses...
Cover of Learning Tableau 10 - Second Edition
by Joshua N. Milligan
Language: English
Release Date: September 30, 2016

Learn how to create effective data visualizations with Tableau and unlock a smarter approach to business analytics. It might just transform your organization About This Book Create stylish visualizations and dashboards that explain complexity with clarity Learn effective data storytelling to...
Cover of Learning R

Learning R

A Step-by-Step Function Guide to Data Analysis

by Richard Cotton
Language: English
Release Date: September 9, 2013

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The...
Cover of Pandas Cookbook
by Theodore Petrou
Language: English
Release Date: October 23, 2017

Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysis About This Book Use the power of pandas to solve most complex scientific computing problems with ease Leverage fast, robust data structures in pandas to gain useful insights from your...
Cover of Practical Time Series Analysis
by Dr. Avishek Pal, Dr. PKS Prakash
Language: English
Release Date: September 28, 2017

Step by Step guide filled with real world practical examples. About This Book Get your first experience with data analysis with one of the most powerful types of analysis—time-series. Find patterns in your data and predict the future pattern based on historical data. Learn the statistics, theory,...
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