Learn and Install Jupyter Notebook

In this Jupyter Notebook installation lesson, you’ll learn the basics of Jupyter Notebook and how to use it for your data science projects. You’ll learn concepts such as state, hidden state, absolute, and relative paths.

An aspect of data science is presenting your analysis and telling a story with data. Throughout this course, you’ve focused on using a code editor to run Python code. While using a code editor is sufficient in some cases, it’s not the ideal tool in all cases. Often, you’ll want to present your ideas or share a data science project. The people who contributed to and built Jupyter Notebook thought of this exact problem, and they built a tool to accomplish this.

Jupyter Notebook is a web application, which means it can run in a browser. We’ll use Jupyter Notebook throughout our courses to work on portfolio projects. The big advantage of using Jupyter is that it allows you to easily share your projects with other people (including employers).

The interface you’ll use in this Jupyter Notebook Installation Lesson is a bit different from what you have seen in previous lessons. However, you’ll continue to use this style as you work on the platform and complete our guided projects — which you can add to your portfolio.


  • Learn how to employ Jupyter Notebook
  • Learn how to install Jupyter Notebook locally

Lesson Outline

  1. Keyboard Shortcuts I
  2. Keyboard Shortcuts II
  3. State
  4. Hidden State
  5. Markdown Syntax
  6. Installing Jupyter Locally
  7. Opening and Closing a Notebook File
  8. Absolute and Relative Paths
  9. Review
  10. Takeaways

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