This is the repository for the LinkedIn Learning course Data Science Foundations: Python Scientific Stack. The full course is available from LinkedIn Learning.

Join instructor Miki Tebeka as he dives into the Python scientific stack and shows you how to use it to solve problems. Miki covers the major packages used throughout the data science process: numpy, pandas, matplotlib, scikit-learn, and others. He also guides you through how to load data, analyze data, run models, and display results.

This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the Using GitHub Codespaces with this course video to learn how to get started.

Miki Tebeka

Check out my other courses on LinkedIn Learning.