Jupyter Notebook simply allows users to write code in a web-browser.
Jupyter Notebook has been widely used by the Data Scientists and Researchers for writing the code that tells a story.
Jupyter Notebook is not however suitable for creating applications.
But, it allows users to create and share documents that contain live code, equations, visualizations and narrative text.
Juypter Notebook is heavily used for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
13+ Jupyter Notebook Courses for Data Science Learners
If you want to become highly skilled in Data Science, learning Jupyter Notebook from these interactive courses by highly qualified instructors will equip you with the life-long skills.
We’ve audited these Jupyter Notebook courses and confirm they are highly suitable for beginners, intermediate and advanced learners.
So, let’s dive in.
Jupyter Notebook: The Definitive Guide | DataCamp
Basics of Python Programming for Beginners (with Jupyter) | Udemy
Tools for Data Science | Coursera
Jupyter Notebook for Data Science | Udemy
Data Science with Jupyter: 2-in-1 | Udemy
Create and Share Analytics with Jupyter Notebooks | Pluralsight
Beyond Jupyter Notebooks | Udemy
Python and Jupyter Notebooks for beginners | Udemy
Jupyter Notebook - Big Data Visualization Tool | Udemy
Python and Jupyter for Science Crashcourse! | Udemy
Python for the Jupyter Notebook | Udemy
Getting Started with Jupyter Notebook and Python | Pluralsight
Introducing Jupyter | LinkedIn Learning
Using Jupyter Notebooks | Real Python