Real-World Data Science Projects involve the practical application of data science methodologies to solve real-world problems. These projects require interdisciplinary collaboration, deal with large and complex datasets, and encompass the entire project lifecycle from data collection to deployment. Ethical considerations and advanced analytics techniques are also key aspects of these projects.
