ZM
27 de jun. de 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!
CJ
15 de jul. de 2019
It is really great that told me lots of basic statistical information that I didn't know.
por Alex Z
•6 de ago. de 2017
talk fast and informative! I enjoyed it a lot.
por Chunyu Z
•10 de feb. de 2016
very helpful class. instructor very organized.
por Hamzeh M T
•7 de nov. de 2018
Great place to start learning genomics in R
por Renaud E
•23 de jul. de 2020
Difficult but definitively very valuable !
por Roman S
•4 de ene. de 2018
Really great and in-depth class! thank you
por Apostolos Z
•21 de oct. de 2017
Excellent course! Thank you!
por Maximo R
•22 de mar. de 2016
Great course!!!!
por Felix K
•22 de jul. de 2021
Great course
por Mingzhi L
•2 de jun. de 2021
Useful!
por YuanL
•8 de sep. de 2019
Thanks!
por Charles W
•2 de ene. de 2021
I thought this course covered a good set of relatively well-organized material.
I think some of the quiz questions (and optional analysis) was a little buggy in Week 1 (where I needed to use different versions of R for different questions), and I am not sure if that is because some time has passed since the course was first created. There were also issues for some of the questions in the other weeks, but I don’t remember being as frustrated when figuring out how to get an answer that was counted as correct (or, more specifically, not being able to run the intended code).
Additionally, I think this course will probably take more time to complete than listed in the syllabus. I support needing to take more time to learn the material, but I think the estimates can be kind of important when deciding if there is enough time to take the course (for somebody who already has a full time job).
There was also at least one section in Week1 that I thought was more of an opinion. For example, there are important and popular programs for genomic analysis that are *not* available through Bioconductor (including some mentioned in Week 4), and I don’t think they are less “trustworthy.” However, I agree that listing resources and explaining the differences is important.
I think I mentioned it in another course review, but I think the limitations to the methods are something to consider. So, I agree that p-hacking can be a problem, but I think telling people that they should only analyze their data once can also cause problems. I also agree with sharing a public log, even if the problems/bugs that are fixed are not emphasized as much in an official report/problem (as findings that should be given weight in the conclusions, if you found reason why they were wrong).
I noticed that there was a moderator responding to forum questions, so that was nice.
I imagine that I might participate a bit more, even though I have formally completed the course.
Thank you!
por Niko F
•17 de mar. de 2021
Nice overview over the different statistics for genomics studies. Very useful commentary for the scientific usefulness of each statistic and helpful literature suggestions. At times a bit unstructured and confusing regarding chapter titles and sequence.
por Ryan A H
•11 de feb. de 2017
Overall, a very good course. Not without its flaws (inconsistent video audio levels), but I have walked away knowing far more about Genomic Data Science than I expected to.
por Nitin S
•19 de feb. de 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 Saaket V
•19 de feb. de 2018
Enjoyed it. One of better courses I have taken in Coursera. A good introduction to using statistics in Bioconductor with genomics data.
por eman m a
•1 de jul. de 2020
theoretical parts need more explanation. But in general, It is a well-structured course. thanks for your efforts
por Maria J
•8 de ago. de 2020
Very helpful and i understood i should master statistics and do more research
por tawanda n
•23 de ene. de 2020
new material would be great as well as new datasets
por Pedro M
•26 de mar. de 2020
Pretty good but a little superficial and outdated.
por Michael R D
•12 de feb. de 2017
Nice course. Ready to apply data.
por Ariful l
•12 de ago. de 2019
good for learning
por NAMRATA P
•9 de abr. de 2019
good
por Dr. P R I
•28 de feb. de 2019
good
por Catherine J
•19 de may. de 2020
Because of short time frame for course, it couldn't present topics in sufficient depth to to practically applied. Well presented for an overview of statistical terminology.
por Xue S
•16 de dic. de 2021
This course covers a lot of useful information. However, it was very fast-paced and some of the concepts were not very clearly explained.