When I started this course, I started it with the idea that I already had some theoretical knowledge of linear regression, and that was I think one of the reasons I passed this course, rather than the course itself. The lectures and the requirements were not compatible most of the time, where the requirements were on a much higher level than the lectures we were given to read and practice. The lectures in this course and the given material were also incompatible - somewhere the reading material was too general, where for instance the matrices parts were too hard and without proper explanation.

Also, the Lab part with the R studio.... Without any explanation and tutorial, we were given the console and expected to "run" and perform the given tasks. This was the place where I came without previous knowledge of R, so a small link to a tutorial or something similar (like explanation what exactly to do) would be much helpful.

Strategically: a very theoretical course with little practical integration into a practicing economist's work. Tactically: a great disconnect between what the course promises and what it delivers. Mostly this is because the quizzes are practical questions while the material is mostly theoretical. Operationally: a disaster!! Many pages have issues with code being in the middle of the text making it difficult to read, questions have wrong answers as the correct answer and this is demonstrated by a practice quiz where the correct answer in No 1 is rebutted in No 2. The entry into the R space is a giant leap into a vacuum since nowhere are you told you need to know R, but you do to do the R Lab questions. This was a real deal breaker for me. Finally, you will never ever get an answer to any query from the course staff as to any problems. The Report Issue tab must go to someone's circular file or Trash file because no one has answered me in the week I have taken this course. A good promise, a terrible delivery. If you can find something better, and that should not be difficult, take it. This should be REMOVED from COURSERA ASAP because of terrible quality control.

there is a Peer-Reviewed Assignment at the end of the course. You can submit your project a week early, and still be listed as "Overdue" because your assignment hasn't been graded yet. Expect to cancel your Specialization Subscription while you wait for the grading to eventually get around to you.

Theoretically deep and practically relevant. The course content is rich and I did have a better understanding of classical linear regression than ever.

The structure and content of the course is very good. However, it has administrative problems. One depends on the qualification of the companions, which is not quick or guaranteed. And the instructor's signature does not appear on the certificate.