It was good

Excelente!

Cheerful

perfect

Great

Nice

It took me about a year to complete this course, but i had to stop to work on my honors thesis. This course was a good refresher to the nature of programming for me, as i hadn't done much for about five years (C programming). It has given me the confidence and tools to think about developing software for use in my future career (bioinformatics).

It's a good course provided you go through the material given properly especially the textbook. The assignment at the end of the course demands a good level of programming skill but unfortunately the coursework doesn't provide the students with such expertise and exposure. If the participant puts in extra effort he/she can reap good benefits.

The lessons in this course were fantastic. The one thing that bothered me was the peer review system for assignments. You end up having to wait weeks just to finish the course, even after you're done everything. Other classes use automatic or paid manual graders, which give instant feedback. I think a similar system could work here.

Great, great content. The course material is relevant and well-paced. The final peer-graded assignment is exceptionally good. It is a tad more advanced than the actual course content but is a great learning experience. At the end of the course you leave confident, because of the knowledge and the R programming skills acquired.

Great acceleration of the specialization compared to the first course. It covers modern approaches (as map-reduce-filter implementation in purrr), nicely explains debugging, benchmarking, OOP etc. I would recommend this as a kick starter for more advanced R programming.

I find that some of the course materials are not sufficient for the learners to understand the concept in R programming and complete the assignment. The course could be improved by including more examples and hands-on exercises.

I think, as the last week, the first 3 weeks should have something more complicated to do. The

complexity level of the exercises grows exponentially on the last week of the course.

Great course! I gained a more in depth understanding of R and it's underlying structure. I did think there could more explanation given to object oriented programming R.

Excellent subject matter. 4 stars instead of 5 is only because there was no video. I love the videos in the other courses in this track, since I am an auditory learner.

the last peer review problem is much too hard for what I learned from the course material, if there is a more specific instruction for the assignment will be better.

The last problem is unnecessarily difficult with little related teaching and learning material provided. Otherwise, the course is certainly well worth taking.

Great course but would prefer more video lectures versus text based lectures. Otherwise, a great course to help build out the foundations of R programming.

If this course could recheck the material and offer some mentors/monitors to provide hints/tips in more asked topics (like a FAQ) it would be excellent

La información es clara pero los códigos generados desde R al finalizar los talleres fallan con frecuencia y es difícil culminar actividades.

It's really good practice for using R as a functional language, but

no video lectures makes student feel bored

Good course but the part of OOP is a little too simple, some extra in class exercises could improve this.

Good Course! But focus should be more on OOPs Concepts through video lectures to better understand it.

I wish the assignments could be a mix of teacher and peer graded.

Good topics selection. However presentation could be better.