Skip to content

LinkedInLearning/data-science-foundations-python-scientific-stack-3084641

Repository files navigation

Data Science Foundations: Python Scientific Stack

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

1667582946722

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.

Instructor

Miki Tebeka

Check out my other courses on LinkedIn Learning.

About

This is a LinkedIn Learning repo for Data Science Foundations: Python Scientific Stack.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published