POGIL is a research-based instruction strategy comprising peer learning, development of process skills, and activities that are designed around the constructivist theory of learning cycles (pogil.org).

Guided Inquiry Activities for Programming Language Concepts is a collection of activities intended to support the use of POGIL in intermediate-level undergraduate computer science courses on functional programming and the implementation of programming languages.

Disclaimer: These activities have not yet undergone the peer-review process of The POGIL Project and so cannot be labeled "POGIL activities" ; however, they are designed based on the POGIL approach to designing activities.

This is the website for “R for Data Science”. This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data.