Here are top websites that consistently offer high-quality, hands‑on data‑science project tutorials (what each site is best for and example project types):

1. Kaggle — extensive community notebooks, datasets and step‑by‑step tutorials; great for end‑to‑end notebooks, competitions (Titanic, tabular ML, computer vision). (DataCamp.com)

2. DataCamp (Projects) — interactive, runnable projects in browser (Python/SQL/R); good for guided portfolio projects like EDA, visualization, model building. (DataCamp.com)

3. Coursera (Guided Projects) — short, instructor‑led, cloud‑hosted step‑by‑step projects (hands‑on exercises using real tools: Python, SQL, Tableau, etc.). (Coursera.org)

4. Towards Data Science (Medium) — many community tutorials and end‑to‑end project walkthroughs (EDA → features → modeling → presentation). Good for learning project structure and examples. (towardsdatascience.com)

5. Analytics Vidhya — tutorials, industry projects and guided capstone‑style exercises (churn, time‑series, recommendation systems). (cbap.analyticsvidhya.com)

6. GitHub “Awesome” lists & repositories — curated collections of project tutorials and ready‑to‑run notebooks (search “awesome-datascience”, “Kaggle-notebooks”, project repos). Great for finding many free project templates. (GitHub.com)

7. fast.ai / Practical Deep Learning for Coders — project‑focused deep‑learning tutorials and notebooks for applied DL projects (image, NLP, tabular). (fast.ai site and course notebooks are project‑centric.)

8. RealPython / Dataquest / GeeksforGeeks — step‑by‑step practical articles and mini‑projects (useful for focused skills: Pandas, visualization, SQL). (GeeksforGeeks.org)

9. DrivenData — challenge‑based projects with social‑impact datasets; good for end‑to‑end problem solving and reproducible solutions.

10. Google Colab tutorials & blog posts — many authors publish Colab notebooks you can run immediately (great for reproducible experiments). (en.Wikipedia.org)

If you want, I can:

• recommend the best 3 sites for your skill level (beginner / intermediate / advanced), or
• pull 5 ready‑to‑follow project tutorials from these sites (with direct links and estimated completion time).