Data Science: A Comprehensive Overview

Cited by (408)

Items 401–408 of 408

1. Opportunities and risks of big data for the methods and culture of psychological science
   Gabrielle C. Ibasco, Friedrich Martin Götz, Luke Clark, Jessica L. Tracy · 2026 · Nature Reviews Psychology
2. A Hybrid Scalable Data Science Framework for Adaptive Data Analytics
   Sudheer Reddy K., Jyoti R. Munavalli, Dhanya Bhat · 2026 · International Conference on Smart Systems and Inventive Technology (ICSSIT)
3. Machine Learning Model Development and Evaluation for Non-contact Lower Limb Injury Risk Prediction in Elite Male Rugby Union: A Multi-team, Multi-season Analysis
   Christopher Leckey, Nicol van Dyk, Jakim Berndsen · 2026 · Sports Medicine - Open
4. Proposing Cyberology: A Conceptual and Curriculum Framework for an Emerging Interdisciplinary Field in the Cyber–Physical–Social-Thinking Space
   Feifei Shi, Wenhe Tu, Jianguo Ding · 2026 · Education Sciences
5. A data quality checklist for undergraduate data stewardship: Development, implementation, and evidence from two library courses
   Wei Zakharov · 2026 · The Journal of Academic Librarianship
6. Data, data science, and official statistics
   Yves Tillé · 2026 · Statistical Journal of the IAOS
7. Developing data awareness in data science education for empowerment in a data-driven world
   Lukas Höper, Carsten Schulte · 2026 · ZDM
8. Data Science for the Next Millennium: A Ubiquitous Review
   Miss. S. B. Avhad Miss. Warale Tejasvi Narsinha, Prof. J. R. Mahajan · 2026 · International Journal of Advanced Research in Science Communication and Technology