Kaggle: A platform offering free datasets, coding challenges, and community-driven projects to practice data science skills hands-on
Coursera’s Data Science Specializations: Courses from universities like Johns Hopkins and Stanford cover everything from Python basics to advanced machine learning
YouTube Channels: Channels like StatQuest and Data School provide clear explanations of key data science concepts and practical coding tutorials
Data Science Books: Books like Python for Data Analysis by Wes McKinney and Hands-On Machine Learning by Aurélien Géron offer in-depth knowledge for beginners and intermediates
GitHub Repositories: Explore real-world data science projects, codebases, and Jupyter notebooks shared by the data science community to learn by example