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Towards Actionable Data Science: Domain Experts as End-Users of Data Science Systems
As a wider range of organizations explore using data science systems, data science research has given growing attention to the role of domain...
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Responsible Data Science
Data science has an increasing responsibility in society, which means it needs to consider more than just technical skills. Data scientists must...
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Data Science
It is notoriously difficult to define what data science is - even though a lot of people are talking/writing about it. Also, it...
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Data Science Thinking
This chapter highlights the cognitive aspect of data science. It presents a variety of modes of thinking, which are associated with the different...
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Spatial Data Science
Spatial data science is a multi-disciplinary field that applies scientific methods to acquire, store, and manage spatial data, as well as to retrieve...
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Data Science: Key Directions, Problems, and Perspectives
Abstract—This article outlines the boundaries of data science in relation to artificial intelligence. It also describes the multidimensional...
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Introduction to Data Science
This chapter introduces you to the basic principles of the data science workflow. These concepts will help you prepare your data as necessary to be...
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Data Science Process
With lucrative and millions of job offerings in data science, there are many who aspire to be a data scientist. With the proper learning path, it is...
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What is Data Science?
Although many attempts have been made to define data science, such a definition has not yet been reached. One reason for the difficulty to reach a...
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The Data Science Workflow
The examination of data science as aWorkflow workflowData science workflow is yet another facet of data science. In this chapter we elaborate on the...
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Data Science (mit Jupyter)
Data Science bezeichnet die Gewinnung von Wissen aus Daten. Der Begriff kam zu Beginn des 21. Jahrhunderts auf und beschreibt ein neuartiges Vorgehen...
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Applications of Data Science
Data science has a wide range of applications. Today, where we already have entered an era of information, all walks of life right from small...
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Introduction to Data Science
Data science is a new interdisciplinary field that has attracted a lot of interest from the media in recent years, where it has been presented as a...
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Introduction to Data Science
In this chapter we will introduce Data Science and its related topic of data analytics, what it is and how it is used. We will also explore how...
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Contextualisation in Data Science
In this chapter, contextualisationEducationcontextualisation is discussed with particular emphasis to the delivery of data scienceData science...
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Data science for next-generation recommender systems
Data science has been the foundation of recommender systems for a long time. Over the past few decades, various recommender systems have been...
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Introduction to Data Science
There has been a phenomenal growth in the use of digital data in information technology, with vast amounts of data collected, processed, and used....
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Data Science Tools
In this chapter, first we introduce some of the cornerstone tools that data scientists use. The toolboxToolbox of any data scientist, as for any kind...
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Anthropological thinking in data science education: Thinking within context
The significance of ethics in data science research has attracted considerable attention in recent years. While there is widespread agreement on the...
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Data Science 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023, Harbin, China, September 22–24, 2023, Proceedings, Part I
This two-volume set (CCIS 1879 and 1880) constitutes the refereed proceedings of the 9th International Conference of Pioneering Computer Scientists,...
