Altair is a declarative statistical visualization library that allows you to make customizable charts in Python. In this course, Build Your First Data Visualization with Altair, you’ll learn your way around Altair to effectively create and build visualizations in a simple and easy way. First, you’ll explore how to set up and set dependencies for Altair. Next, you’ll discover how to create the context for the visualization and load a simple data source. Finally, you’ll learn how to build and customize your visualization using Altair. When you’re finished with this course, you’ll have the skills and knowledge of the Altair API needed to build beautiful visualizations using Python in a simple and effective way.
Course Overview Hi, everyone. My name is Victoria Clark, and welcome to my course, Build Your First Data Visualization with Altair. I am a financial management consultant, and I have worked across many industries and global companies focusing on big data and automation. In this course, we will go over all the basics to get you started with Altair, which is an awesome API that allows you to make customizable charts in Python in a simple and easy way. Some of the major topics that we will cover include how to set up to use the Altair API and its dependencies, importing and transforming data in Altair, and customizing and saving your chart. By the end of this course, you will be able to use this knowledge to build your own visualizations simply and easily using the Altair API in Python. Before beginning this course, you should have some basic Python knowledge, and some experience with Jupyter Notebooks is a plus. I hope you'll join me on this journey to learn more about the Altair API with the Build Your First Data Visualization with Altair course, at Pluralsight.