Unit 7: Jupyter and Visualization for Data Analysis

In this unit, we will learn about Jupyter Notebooks and how to use them for interactive computing and data visualization. We will learn how to create and run Jupyter Notebooks and how to use them to document our code and share our work with others. In the process of working with them, we will explore some popular libraries, including Matplotlib, a powerful plotting library for Python; Seaborn, a library for statistical data visualization built on top of Matplotlib; and pandas, a library for data manipulation and analysis, to do some exploratory data analysis and visualization.

• Introduction to Jupyter Notebooks
• Exploratory Data Analysis with Jupyter Notebooks
• Plotting with Matplotlib