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Opiniones y comentarios de aprendices correspondientes a Statistics for Genomic Data Science por parte de Universidad Johns Hopkins

316 calificaciones

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An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University....

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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!


15 de jul. de 2019

It is really great that told me lots of basic statistical information that I didn't know.

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26 - 50 de 57 revisiones para Statistics for Genomic Data Science

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


por Yuan L

8 de sep. de 2019


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 Hina A

9 de ago. de 2022

excellent course


9 de abr. de 2019


por Dr. P R I

28 de feb. de 2019


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.