Digital Library NAES of Ukraine

The study of Coursera’s data science specialization

- Панченко, Л.Ф. (2015) The study of Coursera’s data science specialization Новітні комп’ютерні технології. Спецвипуск «Хмарні технології в освіті» (13). pp. 172-179. ISSN 2309-1460

[thumbnail of 172-179_Panchenko.pdf]
Preview
Text
172-179_Panchenko.pdf - Published Version

Download (340kB) | Preview

Abstract

Objective: To identify the characteristics of the specialization form of the massive open online courses. Research object: a learning process of the massive open online courses. Research subject: Data science specialization of Coursera. Research objectives: to participate as a student in the several online courses in “data science specialization”, to find the structure of this specialization, to determine its characteristics. Methods: participant observation, content analysis. Results: Data science specialization of Cousera project is a series of 9 courses covering concepts and tools of data analysis, from the research questions formulation to results publication. The implementation of a special Capstone Project has completed this sequence of courses. Сourses are repeated once a month during a year. The courses in the specialization are related with a hard and a soft dependences. Course structure consists of syllabus, short video lectures, tests, peer assessment, course projects, forum. The software R, RStudio, Git, GitHub are used for programming assignment. Conclusions and recommendations: there are next ways to aggregate this form in the traditional educational process of Ukrainian universities: developing training and methodological support of disciplines, the students work organization with course materials, including the topics in qualification works, using new data analysis tools and techniques in the post graduate and post doctoral studies.

Item Type: Article
Keywords: massive open online courses; Data science specialization; Coursera; R
Subjects: Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.7 Computer communication. Computer networks > 004.77 General networking applications and services
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques )
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions: Institute for Digitalisation of Education > Department of Cloud-Oriented Systems and Artificial Intelligence in Education
Depositing User: Сергій Олексійович Семеріков
Date Deposited: 27 Aug 2018 11:03
Last Modified: 01 Feb 2019 03:37
URI: https://lib.iitta.gov.ua/id/eprint/711467

Downloads

Downloads per month over past year

Actions (login required)

View Item View Item