This subject forms the foundation for econometrics. At times the lectures can seem dull, however the content taught in this course is very important and the tutorials allow for student engagement by being heavily focused on practice (e.g. using Stata)

If you like stats, you will enjoy the subject.

As a big fan of econometrics, i thoroughly enjoyed the course. You will learn a lot of regression concepts mostly in cross-sectional dataset, a little bit of time series toward the end of the course. to do well, do tutorial questions is important. But knowing different types of questions in a particular topic is crucial to do well. Problem-solving is the key here.

This course introduces the use of econometrics to explore and estimate economic relationships using linear regression models. Extensions covering statistical complications such as heteroskedasticity, data issues such as proxy variables, and regression with time series data will also be included. Practical computer applications feature throughout. The course will give students a basic understanding of methods required to model the inter-relationship between variables and prepare them for further studies of econometric methods

Intersting subject where you learn some statistics and how econometricians will assess and analyse a particular situation to address a problem. The major project can be the most challenging part of it especially if you work alone.