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Equalizing data science curriculum for computer science pupils
Data science is a new interdisciplinary field of research that focuses on extracting value from
data. As an interdisciplinary science it integrates knowledge and methods from computer …
data. As an interdisciplinary science it integrates knowledge and methods from computer …
Data science education-A sco** review
Aim/Purpose This study aimed to evaluate the extant research on data science education
(DSE) to identify the existing gaps, opportunities, and challenges, and make rec …
(DSE) to identify the existing gaps, opportunities, and challenges, and make rec …
Machine learning for non-majors: A white box approach
Data science is a new field of research that has attracted growing interest in recent years as
it focuses on turning raw data into understanding, insight, knowledge, and value. New data …
it focuses on turning raw data into understanding, insight, knowledge, and value. New data …
Data science education: Curriculum and pedagogy
Data science is a new field of research focuses on extracting knowledge and value from
data. The radical growth in recent years in the availability of data and of the computational …
data. The radical growth in recent years in the availability of data and of the computational …
Data science education programmes in Middle Eastern institutions: A survey study
In response to the current trends in dealing with data in academia, various research
institutions and commercial entities around the world are building new programmes to fill the …
institutions and commercial entities around the world are building new programmes to fill the …
What should we teach? A h uman‐centered data science graduate curriculum model design for iField schools
D Wu, H Xu, Y Sun, S Lv - Journal of the Association for …, 2023 - Wiley Online Library
The information schools, also referred to as iField schools, are leaders in data science
education. This study aims to develop a data science graduate curriculum model from an …
education. This study aims to develop a data science graduate curriculum model from an …
Data Flourishing: Develo** Human‐Centered Data Science through Communities of Ethical Practice
Data Science is a burgeoning area in the iField. But Data Science practices have far
outstripped the field's ethical safeguards. We argue that Data Science graduate education …
outstripped the field's ethical safeguards. We argue that Data Science graduate education …
Interdisciplinary CS1 Course for Non-Majors: The Case of Graduate Psychology Students
The objective of interdisciplinary education is to teach multiple domains, so that the students
can solve integrative problems that require knowledge and skills from these domains …
can solve integrative problems that require knowledge and skills from these domains …
Where data science and the disciplines meet: Innovations in linking doctoral students with masters-level data science education
Although the need for data science methodological training is widely recognized across
many disciplines, data science training is often absent from PhD programs. At the same time …
many disciplines, data science training is often absent from PhD programs. At the same time …
Leading the way: A new model for data science education
Addressing the data skills gap, namely the superabundance of data and the lack of human
capital to exploit it, this paper argues that iSchools and Library and Information Science …
capital to exploit it, this paper argues that iSchools and Library and Information Science …