Microsoft Excel is a powerful tool that can transform the way you use data. Thisbook explains in comprehensive and user-friendly detail how to manage, make sense of, explore and share data, giving sci
Microsoft Excel is a powerful tool that can transform the way you use data. Thisbook explains in comprehensive and user-friendly detail how to manage, make sense of, explore and share data, giving sci
Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main area
Reliable data analysis lies at the heart of scientific research, helping you to figure out what your data is really telling you. Yet the analysis of data can be a stumbling block for even the most exp
If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLA
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issu
A practical guide for today’s chief data officers to define and manage data governance programsThe relatively new role of chief data officer (CDO) has been created to address the issue of managing a c
This book looks at the major policy challenges facing developing Asia and how the region sustains rapid economic growth to reduce multidimensional poverty through socially inclusive and environmentall
Big Data Analytics For Dummies provides an understanding of how the analytics process on large or mixed data types differs from traditional data mining and predictive analytics methodologies. The book
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)
INTRODUCTION TO STATISTICS AND DATA ANALYSIS introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-
Functional data is data in the form of curves that is becoming a popular method for interpreting scientific data. Statistical Analysis of Functional Data provides an authoritative account of function
A practical, skill-based introduction to data analysis and literacy We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Lite
A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for).Today’s decision making can be reached via information (related to
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer s
Repurposing Legacy Data: Innovative Case Studies takes a look at how data scientists have re-purposed legacy data, whether their own, or legacy data that has been donated to the public domain.Most of
Data is too big to be left to the data analysts. Here, Prickly Paradigm brings together five researchers whose work is deeply informed by anthropology, understood as more than a basket of ethnographic
This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analy
The book provides an understanding of different aspects of multidimensional India- East Africa engagement. It explores India’s opportunities in the region and assesses the local needs, expectations an
In the big data era, data storage is one of the cores in the whole information chain, which includes production, transfer, sharing, and finally processing. Over the years, the growth of data volume ha
"Data are generated at an exponential rate all over the world. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the findings
The lack of comfort that many educators have in working with data poses a great challenge as school districts make the transition from a data rich to an information rich environment. Data literacy is
The lack of comfort that many educators have in working with data poses a great challenge as school districts make the transition from a data rich to an information rich environment. Data literacy is
Leaders today—whether in corporations or associations, nonprofits or nations—face massive, messy, multidimensional problems. No one person or group can possibly solve them—they require the broadest po
A Practical Guide to Compositional Data Analysis presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and ap
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 focuse
The present work provides a platform for leading Data designers whose vision and creativity help us to anticipate major changes occurring in the Data Design field, and pre-empt the future. Each of the
This book consists of advanced information regarding data mining and their applications. It offers to aid data miners, researchers, scholars, and PhD students who aspire to practice data mining techni
INTRODUCTION TO STATISTICS AND DATA ANALYSIS introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-
Are you struggling to understand the data you need to support your business activities? Are you frustrated over data that don't answer your questions or provide the wrong answers to your questions? Ar
Data Analytics and Data-based Decision-making are hot topics now. Big Data has entered the common parlance. Many kinds of data are generated by business, social media, machines, and more. Organization
If you are a data analyst who has a firm grip on some advanced data analysis techniques and wants to learn how to leverage the features of R, this is the book for you. You should have some basic knowl
?Christoph Samitsch investigates whether decision-making efficiency is being influenced by the quality of data and information. Results of the research provide evidence that defined data quality dimen
“We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has beco
Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger archite
This volume complies a set of Data Mining techniques and new applications in real biomedical scenarios. Chapters focus on innovative data mining techniques, biomedical datasets and streams analysis, a
The Oxford Handbook of Panel Data examines new developments in the theory and applications of panel data. It includes basic topics like non-stationary panels, co-integration in panels, multifactor pan
Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession.
Data Mining has become an essential tool for any enterprise as vast amounts of data are gathered leading to what is now being popularly called "Big Data". Data is also termed as the new oil, and compa
Get the expert perspective and practical advice on big dataThe Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits makes the case that big data is for r
