An undergraduate course in econometrics

Click here for course practice problems 
This page provides information regarding the undergraduate course in econometrics which I am offering over youtube. I also provide practice problems (with fully worked answers) which allow the student to test their knowledge on both practical and theoretical aspects of econometrics.
This course assumes no prior knowledge of econometrics, and a minimum of knowledge of statistics (although where I use statistical concepts I shall attempt to introduce them). The only prerequisites for this course are some high school mathematics, although I shall attempt to keep this course as 'unmathematical' as possible by introducing concepts by means of examples. The topics covered in this course are:
 What is econometrics?
 Estimators
 Properties of estimators: biasedness, consistency, efficiency, linearity
 Ordinary Least Squares estimators
 The GaussMarkov assumptions
 Testing for validity of the GaussMarkov assumptions
 Hypothesis testing
 Regression interpretation
 Weighted Least Squares
 IV estimation
 Maximum Likelihood Estimators
 Time series models
 Stationarity of time series
 Autoregressive & moving average processes
 Panel models
Here is a selection of a few of the lectures from, 'A full course in econometricsundergraduate level', which contains a list of videos in the order I intend them to be viewed.
This is the first video in the series which provides an introduction to the subject of econometrics.
This is a video I added titled, 'What is econometrics?' It seeks to provide a small insight into what the subject of econometrics is, and how it is a useful subject!
This video provides an introduction to the concept of heteroskedasticity.