- 7 reviews
- 6 completed
I was quite worried before doing it since the comments here was that it was very difficult to someone with little or no experience in Rails or MVC architecture, so I made sure of reading a bit the basic tutorials in Rails wiki. It's a good course, you kind of need to do part 2 since part 1 teaches you the basics (you actually only spend like 3-4 weeks in Rails). Assigments can be challenging. Quizzes are definitely challenging and very tricky. Overall I recommend the course and I'm definitely going to do part 2.
Interesting and worth doing it, but it's not as good as the first part and some weeks had the feeling of being too superficial (machine learning for example). I'm glad I did it since it gave a good understanding of simulations and some general (although certainly superficial) knowledge of what a data scientist does. Some Problem Sets are amazing (the robot simulation, the drug-patient simulation and the weighted graphs applied to MIT campus come to mind) and others are dissapointing (machine learning). The quiz is mainly theory and it's very easy. The final exam is also mainly theory and some parts can be quite tricky. Overall, I recommend it.
If you are into Computer Science MOOCs this is definitely the best introduction you can expect to get. I did a lot of moocs this year all in CS and this was by far my favorite. David Malan created an incredible course in which you have his presentations as a first contact to subjects and inspiritation and then you digg in deeper by watching the shorts (you need to) and the sections (if you need to)m and doing some readings before the psets. Unlike other Moocs where psets can be challenging but not interesting, in this case psets are very challenging and inredibly interesting.
Fantastic course. The videos and slides available are a wonderful resource, Eric Grimson explains everything very well. The problem sets are difficult, challenging and rewarding. It is not an easy course, it covers a lot of ground and it gets into more complex topics fairly quickly, so the dropout rate is quite important, but this course is amazing. It gives really gives you good foundations to keep building on.
I think it was a very good course. It achieves very well the objective of introducing you to key concepts in an array of subjects. The fact that it is an applied analytics course, is a good reason to take it if you are into analytics.
I wouldn't recommend anyone to try this course. I dropped after struggling hours in the first Problem Set. As everyone said, the disconnection between what is taught and the assignments is total. The course and the data science specialization as a whole feels poorly designed.
An amazing experience. This was (hopefully) the first of many MOOCs I'm going to do and it has been simply wonderful. The teachers are great, you learn a lot and the learning curve is brilliantly managed.