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Building an Effective Data Science Practice

Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques;

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Data Science in Theory and Practice - Techniques for Big Data Analytics and Complex Data Sets

DATA SCIENCE IN THEORY AND PRACTICE EXPLORE THE FOUNDATIONS OF DATA SCIENCE WITH THIS INSIGHTFUL NEW RESOURCE Data Science in Theory;

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Principles of Data Science

This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces;

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Big Data and Social Science

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to;

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Big Data and Social Science

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to;

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Data Science: Theory and Applications

Data Science: Theory and Applications, Volume 44 in the Handbook of Statistics series, highlights new advances in the field, with this;

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Data Science in Practice

This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We;

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Getting Data Science Done

Getting Data Science Done outlines the essential stages in running successful data science projects-providing comprehensive guidelines to;

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Big Data and Social Science

Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A;

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Science Workbook Age 8-10

This skills based write-in workbook for children aged 8-10 supports learning and skills practice through data handling and interpretation;

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Data Science for Wind Energy

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy;

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Doing Data Science in R

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry;

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Data Science for Wind Energy

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy;

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Data Science and Digital Business

This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary;

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SOFSEM 2020: Theory and Practice of Computer Science

sub-area of SOFSEM 2020: foundations of computer science, foundations of data science and engineering, foundations of software engineering;

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Data-Intensive Science

Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions;

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Secure Data Science: Integrating Cyber Security and Data Science

Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and;

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Big Data at Work

The amount of data in our world has been exploding, and analyzing large data sets-so called big data-will become a key basis of competition;

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Big Data at Work

The amount of data in our world has been exploding, and analyzing large data sets-so called big data-will become a key basis of competition;

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On the Epistemology of Data Science

This book addresses controversies concerning the epistemological foundations of data science: Is it a genuine science? Or is data science;

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Analytics and Data Science

This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to;

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Beginning Data Science in R 4

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist;

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Beginning Data Science in R 4

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist;

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Productive and Efficient Data Science with Python

This book focuses on the Python-based tools and techniques to help you become highly productive at all aspects of typical data science;

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Science Workbook Age 9-11

This skills based write-in workbook for children aged 9-11 supports learning and skills practice through data handling and interpretation;

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Data Science in Education Using R

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like;

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