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Introduction to Data Science - Lecture Material

Course website: http://datasciencecourse.net

This repository (will) contain(s) the material used in the lectures. You can manually download the files for each lecture, but we recommend that you use git to clone and update this repository.

You can use GitHub Desktop to update this repository as new lectures are published, or you can use the following commands (recommended):

Initial Step: Cloning

When you clone a repository you set up a copy on your computer. Run:

git clone https://github.com/datascience-course/2019-datascience-lectures

This will create a folder 2019-datascience-lectures on your computer, with the individual labs in subdirectories.

Updating

As we release new lectures or update lectures, you'll have to update your repository. You can do this by changing into the 2019-datascience-lectures directory and executing:

git pull

That's it - you'll have the latest version of the lectures.

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Lecture content for 2019 course.

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  • Jupyter Notebook 99.7%
  • Python 0.3%