No matter your major or career, all of us have to manage information. The ability to understand, work with, and explain data can be the difference between a successful project and a disorganized mess. Data skills are increasingly in demand from employers, too, so why not brush up on your skills?
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.
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.
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.
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.
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.
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.
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.
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.
Data Science: The Executive Summary
Tap into the power of data science with this comprehensive resource for non-technical professionals.
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.
Hands on with Google Data Studio
Learn how to easily transform your data into engaging, interactive visual reports with Google Data Studios!
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.
Intelligent Data Analysis
Intelligent Data Analysis takes a different approach and aims to solve common life problems with data analysis tools.
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.
Linking Knowledge
Get to know the Linked Open Data Cloud and the challenges of the Semantic Web in this guide!
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.
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.
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.
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.
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.
The Power of Data Storytelling
The Power of Data Storytelling aims to make company data interesting for today's time-crunched professionals.
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.
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.
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.