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Foundational skills related to Company, Colleagues, Storytelling, Expectations, Results and Care;...
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While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast;
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, data science techniques and their applications - and gradually build up to building a professional reference operating model for a data science;
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Jump-start your career as a data scientist-learn to develop datasets for exploration, analysis, and machine learning SQL for Data;
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understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data;
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data scientists about their experiences This book is for readers who possess the foundational technical skills of data science, and;
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handling of polyglot data types in a data lake for repeatable results Who This Book Is For Data scientists and data engineers who are required to;
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, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;
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profitable. It's filled with practical techniques for running data science programs that ensure they're cost effective and focused on the right;
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of the integration of technology to human workplaces. Advancing Skill Development for Business Managers in Industry 4.0: Emerging Research and;
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There has been intense excitement in recent years around activities labeled data science, big data, and analytics. However, the lack;
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This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary;
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methods and analytical techniques for individuals who aren't data scientists. The authors offer a straightforward, hands-on approach to the;
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methods and analytical techniques for individuals who aren't data scientists. The authors offer a straightforward, hands-on approach to the;
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A concise introduction to key computing skills for biologists While biological data continues to grow exponentially in size and quality;
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A concise introduction to key computing skills for biologists While biological data continues to grow exponentially in size and quality;
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be adopted as dynamic models. Data science is a relatively new discipline, and as such, internal processes for it are not as well-developed;
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models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and;
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As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into;
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This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a;
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demand for new projects, using Monte Carlo simulation to understand outcome distribution, among other topics. The data science methods covered;
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This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support;
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. It issues a strong manifesto for the development of new areas of research requiring the skills of weather scientists, geographers, economists;
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. It issues a strong manifesto for the development of new areas of research requiring the skills of weather scientists, geographers, economists;
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for this career can seem bewildering. This book is designed to help anyone who wants to learn more about data science get started;
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ability to slice and dice data * A step-by-step guide to learn various ways to model data for businesses with the help of Excel 2013 Who This;
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intelligence and big data. This summer school, presented by leading researchers in the field, represented an opportunity for postgraduate students to;
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