This comprehensive course covers the full data science lifecycle — from data collection and cleaning to analysis, visualization, and machine learning. Students will gain hands-on experience with tools like Python, Pandas, NumPy, SQL, and Scikit-learn. Designed for beginners and professionals alike, the course equips learners with practical skills to solve real-world problems and prepare for roles like Data Analyst, Data Scientist, or ML Engineer.
It depends on your goals. Django is great for full-featured web apps, Flask is lightweight and flexible, and FastAPI is excellent for modern, fast APIs.
Yes, deployment strategies for all three frameworks will be covered, including using platforms like Heroku, AWS, or Render.
Absolutely! Flask and FastAPI are popular choices for RESTful APIs, while Django offers powerful tools via Django REST Framework.
Yes, the course includes practical projects to build real-world applications with each framework.
Yes, learning one framework helps understand web development fundamentals, making it easier to learn others.
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