Data Applications with Streamlit
Analyzing data and building machine learning models is one thing. Packaging these analyses and models such that they are sharable is a different ball game altogether.
Enroll in this Streamlit course and start learning now .
This course aims at teaching you the fastest and easiest way to build and share data applications using Streamlit. You don’t need any experience in building front-end applications for this. Here are some of the things you can expect to cover in this course:
- Python Crash Course
- NumPy Crash Course
- Introduction to Streamlit
- Integrating Matplotlit and Seaborn in Streamlit
- Using Altair and Vega-Lite in Streamlit
- Understand all Streamlit Widgets
- Upload and Process Files
- Build an Image Processing Application
- Develop a Natural Language Processing Application
- Integrate Maps with Streamlit
- Implement Plotly Graphs
- Authenticate Your Streamlit Applications
- Laying Out your Application in Streamlit
- Developing with Streamlit Components
- Deploying Data Applications
At the end of the course, you will have built several applications that you can include in your data science portfolio. You will also have a new skill to add to your resume.
The course also comes with a 30-day money-back guarantee. Enroll now and if you don’t like it you will get your money back no questions asked.