Data Applications with Streamlit

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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.

Enroll now

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