Design of Data Analytics Teaching Platform for IT Talents Driven by Enterprise Projects

DOI

10.2991/978-94-6463-034-3_32How to use a DOI?

Keywords

Data analytics; Project driven; Teaching platform; Questionnaire investigation

Abstract

The research investigates the data analytics capability of it related students in Wuhan University of science and technology in the form of questionnaire. The data show that the theoretical and practical teaching system of data analytics courses has been basically established. However, there are many but scattered knowledge points and lack of organic connection of cases. The whole life cycle based data analytics cases, such as the environment construction of big data, data preprocessing, storage and transmission, data mining, machine learning and data presentation, are difficult to be carried out in the laboratories of most colleges in China. There is a serious shortage of teachers with enterprise project experience. Based on this, a data analytics teaching platform driven by enterprise projects is proposed in this paper. Four aspects are involved in the platform: college and enterprise jointly develop data analysis projects; building data analysis platforms shared with data sets and project cases; adopting the online and offline mixed teaching mode; establishing a multi-layer progressive mode of curriculum design, subject competition and project practice to cultivate students’ engineering practice ability from the whole life cycle of data analysis projects. After online learning about key technologies and business, with the help of offline technology exchange and algorithm design, the project group completed the feasibility analysis, design, programming and implementation of the project based on whole life cycle, which achieved outstanding results in the project fields of analytics the public opinion of COVID-19, identification of innovation investment opportunity, and so on.

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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TY  - CONF
AU  - Ruijun Zhang
AU  - Wenxia Li
PY  - 2022
DA  - 2022/12/23
TI  - Design of Data Analytics Teaching Platform for IT Talents Driven by Enterprise Projects
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 314
EP  - 322
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_32
DO  - 10.2991/978-94-6463-034-3_32
ID  - Zhang2022
ER  -