Udemy – Complete Guide to Data Science Applications with Streamlit 2021-1

Udemy – Complete Guide to Data Science Applications with Streamlit 2021-1 Downloadly IRSpace

Apr 17, 2025 - 12:42 Updated: Aug 17, 2025 - 12:25

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Udemy – Complete Guide to Data Science Applications with Streamlit 2021-1

Complete Guide to Data Science Applications with Streamlit is a training course for the development of web applications based on machine and science with the Python programming language and the Streamlit framework, published by Udemy Academy. Professionally analyzing and building car models is only one part of the car application development process. Displaying these data and models in different formats and sharing them is another matter. Streamlit is an open source framework based on the Python programming language that can simplify and accelerate the time-consuming and complex development of machine and science applications for us.

To develop Streamlit applications, you don’t need any background knowledge in front-end development and programming, and you can start your work from scratch. Among the most important features of the Streamlit framework is the use of the syntax of the Python programming language and modules of this language, the ability to quickly design and display various widgets, quick and easy implementation of applications, compatibility with most usable data science frameworks. He pointed out the car and…

What you will learn in Complete Guide to Data Science Applications with Streamlit:

Powerful NumPy library
Integration of Matplotlit and Seaborn libraries in Streamlit applications
Various Streamlit widgets
Upload and process files in Streamlit
Development of an application based on natural language processing approaches
And …

Course specifications

Publisher: Udemy
Instructors: Derrick Mwiti and Namespace Labs
Language: English
Level: Introductory to Advanced
Number of Lessons: 151
Duration: 9 hours and 45 minutes