In this guide, we’re going to explore several popular courses for beginners to learn Jupyter Notebook for Data Science, offered by some of the top educators.
It is an open-source application that is widely used for data analysis work, allowing users to write code in a web browser.
Jupyter Notebook has been widely used by Data Scientists and Researchers for writing the code that tells a story.
It’s also affectionately known as the ‘Notebook’ among the Data Science and Machine Learning Enthusiasts.
It 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.
So equipping yourself with the Jupyter Notebook skills for data science means that you’re well on your way to entering the world of data science.
And our aim in this article is that you’re able to pick the right course to gain the necessary skills from this post.
So let’s dive in…