Create Your Own Data Blog with Quarto and Python

Data blogs are important tools for showcasing your work and personal brand, offering you a creative outlet for sharing your interests and passions. If your data blog is about (or uses) Python, then you’ll want to include Python code and output—but this can be a pain with most blogging platforms! That’s where Quarto comes in.

Quarto is a complete data science reporting tool kit that allows you to craft documents with Python. But Quarto doesn’t just enable wikis, docs, and reports. You can also build and run a fully-featured data blog through Quarto and publish freely to the web via GitHub Pages (or alternatives). In this course, data consultant and advocate Charlie Hadley covers everything you need to get going with your very own data blog. Learn how to create rich data blog posts, customize and beautify your data blog, create rich pages that you can add to your navigation, and publish your blog with Netlify and GitHub. Charlie also explains how to design social cards for your posts for sharing on LinkedIn and other networks. Plus, get tips on expectation management, avoiding perfectionism, and finding topics to regularly post about.

Learning objectives
Explain the value and purpose of creating a data blog for individuals and businesses.
Set up and configure a data blog using Quarto, GitHub, and Netlify.
Create, customize, and manage blog posts using Quarto, SCSS, and SASS variables.
Integrate advanced features such as responsiveness, social card customization, and audience commenting into the data blog.
Develop consistent writing habits and effective content categorization strategies for data blogging.