- 5 reviews
- 5 completed
The reviews for this course seem quite divided after after reading the reviews I can appreciate both of the view points. I found the course enjoyable and a decent introduction to R. However, it's an introduction to R for programmers, so you should feel comfortable programming in at least some other language before engaging this course. You should not consider this as your first course into programming. The lectures felt a bit dry at some points, due to delving into details of number of functions in the standard library. However, they were useful. The course also included required programmin assignments that forced you to engage and get your feet wet. Some details of the assignments required you to figure out and use functions of the R library that were not introduced in the lectures. This might have again been frustrating if you didn't have prior programming experience, but pretty much standard practice for anyone who is a programmer.
Overall a nice introduction to parallel programming. The good: The amount and difficulty of material was about right for a first introductory course. The assignments were well thought out and required you to actually engage yourself in parallel programming instead of just watch videos and forget what you saw a few days later. The bad: There were a few snafus in the initial installment of the course with assignment grading (and delays with the grading); however, these should likely go away with future offerings of the course. The video lectures sometimes proceeded forwards in a painstakingly slow pace so using 1.5-2.0 speed up helped.
The initial installment of this course was a complete mess. The course was riddled with delays and the complete course took maybe about three times longer than what it was advertised. New lectures appeared occasionally after long delays with no communication from the staff. For many occasions the few students that didn't give up on the course were openly wondering if the course had been cancelled due to no activity, no new material nor any communications from the staff. If this course ever gets offered again, this should no longer be an issue as all the lectures have already been recorded. I believe I was one of the few students that actually completed all the requirements of the course; even after that they never issued the completion certificates nor do I see the course as marked completed in the course records. Having said all the negative comments above, there's some positive, too. Once the lectures actually came up, the content of the lectures was actually quite good. The lecture material was engaging, the difficulty was at the right level for a first introductory course and there was enough material covered to call it a decent introduction. The course had quiz assignments and a quiz final exam, but really would have benefited from some practical programming exercises.
This is not a college level course. The amount of material covered could have been fit into one or two college level lectures; even for MOOC standards where you generally have 1-2 hours of lectures a week, in this course you might have 15-20 minutes of lectures a week, with very light content. Additionally, the assignments in the course are poorly thought out (for couple of assignments, the assignment consisted of one radio button selection box with about 5 possible answers and infinite tries). I really wanted to like this course, because I find the subject matter fascinating, but at least in it's initial installment I find it hard to say many positive things about the course.
An excellent introductory course to machine learning. It's heavily focused on practical issues of machine learning and after it you'll be able to use machine learning for your own purposes. The course does not cover theory of machine learning, so if your interest is more in the theory than in practice, you might feel that the course doesn't go deep enough. I prefer to first learn the practice and after that go deeper into the theoretical aspects, so this was the perfect introductory course for me.