Jun 28, 2018
The professor is really enthusiasm, so I was really impreesed by him. And his teaching is brief, and I can learn key points through the lectures. Great course!
May 23, 2016
I have really enjoyed the course and I have learnt different concepts relevant for my current study.\n\nYurany
por NAMRATA PATEL•
Apr 10, 2019
por Tushar Kapur•
Mar 25, 2019
Very good course and useful understanding statistical aspects of data.
por Dr. Pranadeep Reddy Inukollu•
Mar 01, 2019
por Stefanie Meier•
Feb 25, 2019
In the course, easy concepts are well explained, but the more complex topics are very tricky to understand. However, I appreciated the enthusiasm of the teacher a lot
por David Brandtner•
Feb 24, 2019
Theory part, remaining that it has to be done in pills, could be done a lot better. R part is done better, but the principal issue is that you have not a clear connection with theory.
por Nitin Sharma•
Feb 19, 2019
sometimes termininology was used interchangeably, which can be confusing for a beginner but overall a good introduction to statistcs for genomic data analysis
por Hemanoel Passarelli Araujo•
Jan 24, 2019
This is totally not for beginners..
por Hamzeh Mesrian Tanha•
Nov 08, 2018
Great place to start learning genomics in R
por Ian Poole•
Aug 30, 2018
I did my best to work through module 1, but encountered one problem after another with installing the various required R packages, due to version issues. From the absence of recent discussion posts it seems that this is not really a current, viable course. From what I have seen of the course, I get the impression that even if package installation went smoothly, the course is more about R than statistics or genomics - which is not what I joined for.
por ELISA WAXMAN•
Jul 23, 2018
I think this is one of the best courses in this specialization. I found it the most helpful in building together what should be learned in genomic data science. I wish 1) this course was earlier in the specialization, 2) there was additional building from this course to build together the workflow from beginning to end, and 3) reduction or removal of some of the other courses (or other courses taught together with this one).