Worksheets and Projects in Statistics for Economists

Materials from a Spring 2022 course, including readings, assessment materials and R Studio code. "Topics include basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression."

Free online workbook, designed to be used alongside the CORE textbooks or as part of other courses. A succession of exercises are covered in R, Excel and Google Sheets. Screen-shots walk the reader through the steps of using each interface. The twelve chapters touch on topics including climate change, inequality, wellbeing and unemployment.

This is an open online course, available freely to independent learners but with a fee for students who want feedback from an instructor. The course makes much use of online text, diagrams and interactive assignments. It is comprised of four units: Exploratory Data Analysis, Producing Data, Probability and Inference. These are subdivided into a total of twelve modules and more than two hundred "pages" of material. It is similar to the companion course on Statistical Reasoning, but with a more classical treatment of probability.

School of Data is an extensive site aiming "to empower civil society organizations, journalists and citizens with the skills they need to use data effectively." The site includes many textual "courses" explaining topics such as Exploring and Understanding Data, Common Misconceptions, Data Cleaning, or Data Journalism. There are also "recipes" explaining how to do tasks with specific tools. Often the tools are simple and freely available, such as Google Spreadsheets. The content is freely reusable and makes copious use of graphs and illustrations.