Visualizing data in plots and figures helps you to see patterns and provides insight. Visualizations can also be useful for data analysts or other data users. This course will show you how to use Matplotlib which is a powerful Python data visualization program. Matplotlib allows you to create rich visualizations using many types of data. This course will show you how to create visualizations …

Seaborn is a powerful Python library that makes it easy to create informative and attractive visualizations. This course will introduce Seaborn and show you how to visualize data with box plots and scatter plots. While you examine survey responses about student hobbies and factors that influence academic success, this will be done. Seaborn's benefits as a statistical visualization tool will be …

Data visualization is essential to data science. Visualization is a way to discover insights from your data and share them with others. On the path to becoming data scientists, everyone is taught how to make scatter plots and bar graphs. However, data visualization's true power can only be discovered when you stop and think about how, what and why you visualize your data. This course will show …

One of the most important tasks is to understand the relationships between data scientists' data and their geographical context. This course will show you how to create beautiful visualizations using geospatial data with the GeoPandas package. This course will show you how to spatially link datasets and data to context. You will learn how to overlay geospatial data on maps to add spatial cues. …