Purpose

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

Course Information

• Provider: The University of California, San Diego (via edX)
• MicroMasters: This course is part of the MicroMasters Program in Data Science
• Track: audit (non-verified)
• Format: Self-Paced
• Website: Python for Data Science
• Start date: 03 Jan 2019
• End date: 18 Apr 2019
• What to learn:
  • Basic process of data science
  • Python and Jupyter notebooks
  • An applied understanding of how to manipulate and analyze uncurated datasets
  • Basic statistical analysis and machine learning methods
  • How to effectively visualize results

Run Jupyter notebooks in Google Colaboratory

Open a notebook in Google Colaboratory using this GitHub repository's url. The notebook can then be run in Google Colab.
(Alternatively, a notebook can also be opened in Google Colab by clicking on the badge on the top of the GitHub notebook displayed on the website).
See Using Google Colab with GitHub to learn more about loading and saving GitHub-hosted notebooks with Google Colab.