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Managing Your Data Science Projects

At first glance, the skills required to work in the data science field appear to be self-explanatory. Do not be fooled. Impactful data;

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The Art of Data Science

This book describes, simply and in general terms, the process of analyzing data. The authors have extensive experience both managing data;

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Managing and Mining Graph Data

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety;

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Managing and Mining Graph Data

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety;

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Advances in Data Science

Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century;

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Managing Data Science

Understand data science concepts and methodologies to manage and deliver top-notch solutions for your organization Key Features Learn the;

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DAMA-DMBOK

The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective;

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Data Science

Learn how to build a data science team within your organization rather than hiring from the outside. Teach your team to ask the right;

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Robinson:Build A Career in Data S_p

Build a Career in Data Science is the top guide to help readers get their first data science job, then quickly becoming a senior employee;

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Managing Ocean Resources

This comprehensive collection of data and theory provides an essential resource base for intelligent ocean-management decisions. The book;

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Strategies in Biomedical Data Science

An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals;

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The Beginner's Guide to Data Science

This book discusses the principles and practical applications of data science, addressing key topics including data wrangling, statistics;

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Scientific Data Management

Dealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes;

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Scientific Data Management

Dealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes;

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Managing Data in Motion

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system;

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Research Data Management and Data Literacies

Research Data Management and Data Literacies help researchers familiarize themselves with RDM, and with the services increasingly;

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Guide to Industrial Analytics

This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet;

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Data Analytics in the Era of the Industrial Internet of Things

creation, heightened agility to respond to continuously changing challenges, and intensified data-driven decision making. In a straightforward;

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Data Analytics in the Era of the Industrial Internet of Things

creation, heightened agility to respond to continuously changing challenges, and intensified data-driven decision making. In a straightforward;

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97 Things about Ethics Everyone in Data Science Should Know Collective Wisdom from the Experts

Most of the high-profile cases of real or perceived unethical activity in data science aren't matters of bad intent. Rather, they occur;

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Machine Learning for Healthcare

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data;

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Hydroinformatics

systems every day, and this information must be collected, interpreted, and shared efficiently. Hydroinformatics: Data Integrative Approaches;

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Hydroinformatics

systems every day, and this information must be collected, interpreted, and shared efficiently. Hydroinformatics: Data Integrative Approaches;

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Numerical Methods and Modles in Earth Science

Understanding earth systems and its dynamic behavior requires objective insights into the complex observational data sets and their;

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Collecting Qualitative Data

Provides a very practical and step-by-step guide to collecting and managing qualitative data;

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Data Science

From the author of the bestsellers, Data Scientist and Julia for Data Science, this book covers four foundational areas of data science;

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Master Data Management In Practice

In this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to;

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