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http://dspace.lib.uom.gr/handle/2159/29653
Author: | Μαργαριτόπουλος, Στέργιος |
Title: | Analyzing trends in data science and data analytics using the stack overflow platform |
Date Issued: | 2023 |
Department: | Πρόγραμμα Μεταπτυχιακών Σπουδών Ειδίκευσης στην Εφαρμοσμένη Πληροφορική |
Supervisor: | Αμπατζόγλου, Απόστολος |
Abstract: | In recent years, the fields of data science and data analytics have experienced a remarkable surge, primarily fueled by the ever-increasing demand for valuable insights derived from data. Professionals in this domain are increasingly turning to community-driven platforms such as Stack Overflow to facilitate knowledge sharing and collaborative problem-solving. This master’s thesis embarks on the exploration of the dynamic landscape of data science and data analytics, conducting an analysis of the prevailing and actively discussed questions within the Stack Overflow platform. By closely examining these inquiries and identifying emerging trends, this study aims to offer invaluable insights that have the potential to empower not only data analytics practitioners but also enrich the broader community. |
Keywords: | Data science Data analytics Stack overflow Topic modeling Word cloud NLP |
Information: | Διπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2023. |
Rights: | Attribution-NoDerivatives 4.0 Διεθνές |
Appears in Collections: | Π.Μ.Σ. στην Εφαρμοσμένη Πληροφορική (M) |
Files in This Item:
File | Description | Size | Format | |
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MargaritopoulosStergiosMsc2023.pdf | 1.52 MB | Adobe PDF | View/Open |
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