Method of Formation of Basic Practical Skills of Data Analysis using Google Services
The article reveals the key aspects of the methodology of studying data analysis, which is aimed at forming students’ basic practical analytical skills with the use of cloud-based digital tools. The interdisciplinary nature of data analysis and its importance in the process of digital transformation of the social and industrial spheres are revealed. It has been established that the study of data analysis by students should be based on practice-oriented learning, taking into account the development of technologies and professional direction. In the process of studying data analysis, it is also important to integrate it with other disciplines, focus on the formation of students’ strategic thinking and the ability to professionally use digital technologies. To form basic practical skills of data analysis, it is suggested to use Google cloud services in combination with classic means of collecting and processing information. This combination allows you to gradually familiarize yourself with the analysis of tabular data: from the basics of creating tables and visualizing results in the Google Sheets environment to the technologies of using specialized tools using the Google Colab service. The results of the ascertainment stage of the research are given, which confirm the feasibility of implementing the proposed methodology in the practical preparation of students for future professional activities.
Authors
- Roman Zahorodnii (ORCID: https://orcid.org/0000-0002-5327-6938)
- Volodymyr Rak
- Illia Lutsyk (ORCID: https://orcid.org/0000-0001-7117-5332)
- Olha Potapchuk (ORCID: https://orcid.org/0000-0001-8041-0031)
- Iryna Lutsyk (ORCID: https://orcid.org/0000-0003-2943-4358)
- Halyna Havryshchak
Institutions
- Ternopil Volodymyr Hnatiuk National Pedagogical University (UA)
- Lviv Polytechnic National University (UA)
Publication Details
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1109/acit62333.2024.10712529
- Citations
- 3
- Primary Topic
- Innovative Educational Technologies
- Type
- article
- Field-Weighted Citation Impact
- 2.34