Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)

Exploration of Teaching Reform of Business Big Data Analysis Course

Authors
Dayou Jiang1, *
1Department of Computer Science and Technology, Anhui University of Finance and Economics, Bengbu, China
*Corresponding author. Email: ybdxgxy13529@163.com
Corresponding Author
Dayou Jiang
Available Online 4 July 2023.
DOI
10.2991/978-94-6463-192-0_93How to use a DOI?
Keywords
business analysis; big data teaching reform; education
Abstract

In the context of the deep integration of big data and business, society has more urgent and high-intensity needs for students of economics and management colleges, which highlights the necessity of offering the course "Business Big Data Analysis." In response to the changes in the theory and analysis tools needed for business analysis in the era of big data, this paper discusses the teaching reform plan of the course from the aspects of course differences, market demand, core theory, and technology, teaching material module design, teaching methods and assessment methods. Using Python + Hadoop + spark + NoSQL + X as the ecological environment through case-driven education is expected to improve economic management undergraduates’ business data analysis ability.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 July 2023
ISBN
10.2991/978-94-6463-192-0_93
ISSN
2667-128X
DOI
10.2991/978-94-6463-192-0_93How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Dayou Jiang
PY  - 2023
DA  - 2023/07/04
TI  - Exploration of Teaching Reform of Business Big Data Analysis Course
BT  - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
PB  - Atlantis Press
SP  - 726
EP  - 736
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-192-0_93
DO  - 10.2991/978-94-6463-192-0_93
ID  - Jiang2023
ER  -