Udemy – PyTorch, Shiny, Pandas & More-Build Interactive Data Science 2025-5

PyTorch, Shiny, Pandas & More-Build Interactive Data Science Course. This comprehensive, beginner-friendly course helps you build intelligent, interactive data science applications using Python, the Shiny, Pandas, and PyTorch libraries. The course starts with Shiny, a dynamic framework for creating dashboards, responsive visualizations, and engaging user interfaces. Then, you’ll move on to Shiny Express, a simpler tool that speeds up application development. You’ll then get acquainted with key data science libraries like Pandas, Seaborn, and Matplotlib, and learn how to clean, analyze, and visualize data to uncover hidden patterns and stories. You’ll also learn the basics of PyTorch for deep learning and building neural models so you can run AI projects. This course includes hands-on exercises, working with real data, and building interactive apps that will give you the skills and confidence to become a data scientist, analyst, or developer. By the end, you will be able to create dynamic, data-driven applications and use machine learning techniques in your projects.

What you will learn

• Build web applications and interactive dashboards using Shiny and Shiny Express in Python for dynamic data visualization and exploration.
• Mastery of core Python data science libraries such as Pandas, Seaborn, and Matplotlib for effective data cleaning, analysis, and visualization.
• Understand the fundamental concepts of deep learning and implement basic neural networks using PyTorch from scratch.
• Apply practical techniques to create real-world data-driven projects that combine engagement with machine learning insights.

This course is suitable for people who:

• Those who prefer learning through building interactive programs rather than just theory.
• Data scientists, analysts, and aspiring developers looking to build dynamic dashboards and web apps with Shiny.
• Anyone interested in learning the basics of PyTorch.
• Beginner and intermediate Python users who want to get into interactive data science and visualization.

PyTorch Shiny Pandas & More-Build Interactive Data Science Course Details

• Publisher:  Udemy
• Instructor:  Dr. Ron Erez
• Training level: Beginner to advanced
• Training duration: 4 hours and 4 minutes
• Number of lessons: 43

Course syllabus in 2025/6

PyTorch Shiny Pandas & More-Build Interactive Data Science Course Prerequisites

• Basic understanding of Python programming (variables, functions, loops).
• No prior experience with Shiny, data visualization libraries, or PyTorch is required — everything is taught from scratch.
• A computer with Python installed
• Curiosity and willingness to learn interactive data science and pytorch fundamentals.

Course images

Sample course video

Download link

Download Part 1 – 1 GB

Download Part 2 – 953 MB

File(s) password: www.downloadly.ir

File size

1.9 GB