Convery is a fine lecturer, and has a vast wealth of knowledge about industry that he can speak on, but some of his lectures left something to be desired. He was using old lecture notes and modifying them during lecture, which ended up being distracting and confusing. He was adequate at explaining how to use econometric models, and his lectures taught well for what was on the midterm and final, but I didn't feel like I had a very good grasp of econometrics at the end - just on how to pass Convery's tests. If all you want to do is pass the class, then attending lectures is fine, but I recommend reading the textbook as well, since that gives a good unified understanding of how all the topics fit together into a coherent whole. The workload for the class was relatively light: there were about 5 homework assignments which required 2+ hours each, so don't procrastinate until the day before. The R component is pretty easy to learn, and the lab lectures help with that. The midterm and final were online and all multiple choice (and were pretty fair), but I don't know if they would be more difficult in person with short answer questions.

Boring lectures and somewhat disorganized, but material and tests were pretty straightforward overall.

The group projects of this course can be tricky, especially if no one in your group has some prior coding experience. Would highly recommend using the TAs and other students as resources!

Professor Convery is a decent professor for the Econ department. His lectures tend to be on the drier side, but they're usually enough to cover the material you need to know for his exams. Convery also records his lectures and live Zooms at the same time as in-person lecture. Personally, I didn't have any issues keeping up with the material even though I spent minimal effort on this class.

One thing that could have been taught better is coding in R. This may have been impacted by the TA strikes, but we didn't have enough problem sets to test us on our R knowledge. This makes it difficult for people without prior R coding experience to jump into Econ 104, which is much more R heavy compared to its prerequisite.