Resources

Here is a list of resources we may use while helping people learn. We will add to list (and revise it) as we find new materials.

• swirl — an introduction to R https://swirlstats.com/students.html
• The Data Visualisation Catalogue — many examples of data visualisation https://datavizcatalogue.com/
• Ten simple rules for collaboratively writing a multi-authored paper https://doi.org/10.1371/journal.pcbi.1006508
• A good introduction to SQL Table joins https://dev.to/helenanders26/sql-series-all-about-sql-joins-15ol
• A free (open) textbook on Statistics in R http://www.russpoldrack.org/2018/11/statistical-thinking-for-21st-century.html
• Flowchart for deciding which estimator to use in your machine learning https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
• Guided tool for selecting a graph for your data https://www.data-to-viz.com/
• Open source introduction to Statistics textbook https://openstax.org/details/books/introductory-statistics
• List of free programming books https://github.com/EbookFoundation/free-programming-books/blob/master/free-programming-books.md