/resources

Collection of helpful resources about Data Science, Machine Learning, R, Python, SQL, HTML/CSS/JavaScript, and more!

MIT LicenseMIT

Resources

Welcome! This is a repository comprised of helpful resources about Data Science, Machine Learning, R, Python, SQL, HTML/CSS/JavaScript, and more!

Everyone has a different learning process and set of resources they find helpful. I want this repo to be accessible to the broader community and cognizant of different learning styles. You can help contribute to this vision by contributing learning tools that you've found helpful. Read CONTRIBUTING.md to find out how!

Table of Contents

Communities

  • List of helpful data science and programming communities to join.

Data Journalism

  • List of resources to learn tools and strategies for data-driven journalism.

Data Science Blogs

  • List of data science blogs to follow.

Data Science Books

  • List of (mostly free) data science books to learn from.

Data Science Job Hunt

  • My advice and list of resources for earning entry-level employment in data science.

HTML and CSS Starter Kit

  • List of tutorials and resources to learn HTML and CSS.

Machine Learning

  • List of tutorials and resources to learn machine learning (in general, in R, and in Python).

Open Data

  • List of sources of open data (raw and through APIs).

R Shiny

  • List of resources to get started and build awesome things with R Shiny.

R Starter Kit

  • List of tutorials and resources to start learning data manipulation and visualization in R.

🚧 SQL and Python starter kits coming soon!