Data Science for e-Government

This course offers a comprehensive introduction to the application of data science in the e-Government sector. Participants will explore foundational data analytics techniques and examine real-world examples of how governments use data to enhance decision-making, improve public services, and foster citizen engagement. The course presents key tools and frameworks applied in e-Government projects and illustrates their use through detailed case studies. In addition to technical insights, the course addresses critical management and policy topics such as ethical data use, cybersecurity, and the organizational challenges associated with digital transformation in the public sector. By analyzing global examples and lessons learned, participants will gain a solid understanding of how data science can be responsibly and effectively integrated into modern governance.

Πάροχος

• Όνομα παρόχου: Digital Organizations Research Group (DORG) - International Hellenic University
• Σύνδεσμος παρόχου: https://dorg.ihu.edu.gr
• Λίγα λόγια για τον πάροχο (προφίλ): The DORG research group, based at the International Hellenic University, is dedicated to advancing knowledge and innovation in the field of digital organization and governance. With a focus on bridging the gap between technology and business, our team specializes in e-Business and Digital Marketing, offering expertise in new business models, emerging technologies, and the management and exploitation of innovation.
• Λογότυπο παρόχου:

Χαρακτηριστικά μαθήματος

• Σε ποιους απευθύνεται (Ομάδα-στόχος): Business Analyst, Data Analyst, Innovation Manager, Govtech Specialist, Data Manager, Training Development Specialist
• Σύντομη περιγραφή: This session provides an overview of common data analysis techniques applicable to the e-Government sector. It introduces participants to how data can support public service improvement, policy development, and citizen engagement. In addition to technical insights, the session highlights the ethical use of data and outlines key principles and legal frameworks related to data protection and security in public administration.
• Διδακτικοί στόχοι & μαθησιακά αποτελέσματα: The main aim of this course is to provide participants with a solid understanding of the role of data science in e-Government and the effective use of data analytics to enhance decision-making, service delivery, and citizen engagement. The course covers essential techniques for analyzing government data and offers practical insights into tools used in the public sector. Participants will learn how to implement data analysis strategies in real-world e-Government scenarios, address ethical issues surrounding data use, and ensure cybersecurity in data-driven initiatives. The course also focuses on the challenges of change management within the public sector and provides strategies to overcome resistance to digital transformation. By the end of the course, participants will be equipped with the skills to apply data analytics practices in government projects and manage the complexities of data use, ensuring a positive impact on governance and public services.
• Λέξεις κλειδιά: Exploratory Data Analysis (EDA), Machine Learning, Digital Transformation, E-Goverment
• Επίπεδο δυσκολίας: Βασικό
• Διάρκεια: 6 ώρες
• Γλώσσα: Αγγλικά
• Προαπαιτούμενα:
• Βίντεο:

Πρόσβαση στο μάθημα

• Σύνδεσμος πρόσβασης (URL) στο μάθημα: https://dorg.ihu.edu.gr/elearn/course/view.php?id=14
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Πνευματικά δικαιώματα

• Πνευματικά δικαιώματα: Διατήρηση όλων των δικαιωμάτων (All rights reserved)
• Ημερομηνία: 03-05-2025

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