A collection of introductory resources for learning Stata and R, usually in the form of sets of slides in PDF that step through basic tasks in statistical analysis.
Lecture Slides in Econometrics
Slides, lecture notes and assignments from a 2019 course. Some of the documents are available via a GitHub repository
On this page for a 2017/18 course whose primary text is Verbeek's "A Guide to Modern Econometrics", under the "Public resources" tab there are problem sets and lecture slides in PDF format
PDF lecture slides and class exercises (without data sets) from a 2016/17 course are found under the "Public resources" tab. "Following a review of linear regression methods, students are introduced to maximum likelihood estimation and instrumental variable methods, before proceeding to a more in-depth treatment of certain classes of models that arise in economics and finance to deal with particular types of data."
From a course in Supply Chain & Logistics Fundamentals, a series of slides giving an overview of time series analysis, discussing naive, cumulative, and moving average models.
A set of ten Powerpoints from a 2006 econometrics course at Leicester.
Bayesian statistics and its application to econometrics - lecture slides and notes. The Powerpoint presentation comprises nearly 100 slides.
From a Summer Institute mini-course run by the National Bureau of Economic Research in 2007, this is a set of resources from each of 15 lectures, including video (usually 1hr long and hosted on Google Video) as well as handouts and slides. This link goes to Economics Network's index of these materials.