Overview
Learn to build 12 interactive and data-driven web apps in Python using the Streamlit library. The course covers creating apps for various purposes such as stock price analysis, bioinformatics, sports data exploration, classification tasks, regression analysis, and deployment to platforms like Heroku and Streamlit Sharing. Students will gain hands-on experience in developing these apps and deploying them. The course is suitable for individuals interested in data science, Python programming, and web app development.
Syllabus
) Introduction.
) 1. Simple Stock Price.
) 2. Simple Bioinformatics DNA Count.
) 3. EDA Basketball.
) 4. EDA Football.
) 5. EDA SP500 Stock Price.
) 6. EDA Cryptocurrency.
) 7. Classification Iris.
) 8. Classification Penguins.
) 9. Regression Boston Housing.
) 10. Regression Bioinformatics Solubility.
) 11. Deploy to Heroku.
) 12. Deploy to Streamlit Sharing.
Taught by
freeCodeCamp.org
Reviews
5.0 rating, based on 1 Class Central review
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Excellent course to start using Streamlit in python projects. A great opportunity to make your "Hello World" from this great library.
Think about doing it.