Development Online Course by Udemy, On Sale Here
Learn how to build and deploy data science applications in Python
An excellent training about Data Science
Complete Guide to Data Science 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. 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 CourseNumPy Crash Course Introduction to StreamlitIntegrating Matplotlit and Seaborn in StreamlitUsing Altair and Vega-Lite in Streamlit Understand all Streamlit WidgetsUpload and Process FilesBuild an Image Processing ApplicationDevelop a Natural Language Processing Application Integrate Maps with Streamlit Implement Plotly Graphs Authenticate Your ApplicationsLaying Out your Application in StreamlitDeveloping with Streamlit ComponentsDeploying 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.
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