Featured titles

Book cover for Advances in Data Science

Advances in Data Science: Symbolic, Complex, and Network Data

Advances in Data Science presents a collection of up-to-date contributions by eminent scholars following two international workshops.

Book cover for Avoiding Data Pitfalls

Avoiding Data Pitfalls

Avoid data blunders and create truly useful visualizations with Avoiding Data Pitfalls, a reputation-saving handbook for those who work with data.

Book cover for Big Data Analytics and Intelligence

Big Data Analytics and Intelligence

This book explores big data's relationship to various areas of health care and provides diverse perspectives on all of them.

Book cover of Cartography: Visualization of Spatial Data

Cartography: Visualization of Spatial Data

Integrating cutting-edge technology with traditional cartographic principles, this text provides a framework for effectively visualizing and analyzing geospatial data.

Book cover for Data Driven Business Transformation

Data Driven Business Transformation

Data Driven Business Transformation illustrates how to find the secrets to fast adaptation in your data and how to use them to capture market share.

Book cover of Data Management for Researchers

Data Management for Researchers

A comprehensive guide to everything a data manager needs, this book is essential for researchers who need to learn how to take care of their own data.

Book cover of Data Points: Visualization That Means Something

Data Points: Visualization That Means Something

Author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis.

Book cover Data Quality: Dimensions, Measurement, Strategy, Management, and Governance

Data Quality: Dimensions, Measurement, Strategy, Management, and Governance

In this comprehensive book, Rupa Mahanti provides guidance on the different aspects of data quality with the aim to be able to improve data quality.

Book cover of Data Science: The Executive Summary

Data Science: The Executive Summary

Tap into the power of data science with this comprehensive resource for non-technical professionals.

Book cover of Data Science in the Public Interest.

Data Science in the Public Interest

This book is about how new and underutilized types of big data sources can inform public policy decisions related to workforce development.

Book cover of Introduction to Hands on with Google Data Studio.

Hands on with Google Data Studio

Learn how to easily transform your data into engaging, interactive visual reports with Google Data Studios!

Book cover of Info We Trust

Info We Trust

Join award-winning data storyteller RJ Andrews as he pushes beyond the usual how-to, and takes you on an adventure into the rich art of informing.

Book cover of Introduction to Intelligent Data Analysis

Intelligent Data Analysis

Intelligent Data Analysis takes a different approach and aims to solve common life problems with data analysis tools.

Book cover of Introduction Leading Within Digital Worlds

Leading Within Digital Worlds

Leading within Digital Worlds explores challenges in data for scientists, public and private companies, and also for non-specialists in leading roles.

Book cover of Introduction to Linking Knowledge

Linking Knowledge

Get to know the Linked Open Data Cloud and the challenges of the Semantic Web in this guide!

Book cover of Practical Data Science for Information Professionals

Practical Data Science for Information Professionals

Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application.

Book cover of Practical Real-Time Data Processing and Analytics

Practical Real-Time Data Processing and Analytics

A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario.

Book cover of R for Data Science

R for Data Science

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.

Book cover of Smarter Data Science

Smarter Data Science

Employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit your project or enterprise.

Book cover of The Data Science Workshop

The Data Science Workshop

Cut through the noise and get real results with a step-by-step approach to data science Key Features Ideal for the data science beginner.

Book cover of The Power of Data Storytelling

The Power of Data Storytelling

The Power of Data Storytelling aims to make company data interesting for today's time-crunched professionals.

Book cover of The Python Workshop

The Python Workshop

Learn the fundamentals of clean, effective Python coding and build the practical skills to tackle your own software development or data science projects with this engaging guide.

Book cover of The Real Work of Data Science

The Real Work of Data Science

The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, and helping companies become data-driven.

Book cover of Visualization and Verbalization of Data

Visualization and Verbalization of Data

This book explains the historical origins of correspondence analysis and associated methods. The second part concentrates on the contributions made by the school of Jean-Paul Benz(r)cri and related movements, such as social space and geometric data analysis.