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学生对 Johns Hopkins University 提供的 Bioconductor for Genomic Data Science 的评价和反馈

3.8
385 个评分

课程概述

Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University....

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AB

Apr 11, 2018

Amazing course, motivated me to use bio conductor for descriptive seq studies of DNA.

QZ

May 20, 2018

It's very helpful in learning genomic data science. I think it's a little difficult in the beginning. The instructor have some accent, which made me even harder to get into it.

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26 - Bioconductor for Genomic Data Science 的 50 个评论(共 83 个)

创建者 Ramesh G

Mar 9, 2019

Great Introductory course for sequence analyses using Bioconductor. However, the quizzes badly require more explanation. An update to the course to introduce currently more relevant packages and analysis methods would add more value.

创建者 Ji E S

Oct 28, 2020

It seems that they just made a course and don't care/update after that. Computational biology field evolved very quickly, but the tools in this course are outdated (like 5 years!), so it's not very practical. Still a good course to learn basics of bioinformatics tools, but you need to do a lot more of self-studying even after finishing the whole genomic data science specialization course for practical applications.

创建者 Hans W

Dec 24, 2019

Interesting course! Unfortunately little explanation on why we are doing the analysis steps from a biological perspective. Some quiz answers seem outdated. Additionally the lecturers don't seem to react on the forum. Messages in the forum are pretty old as well, the course seems to be abandoned.

创建者 Shriya J

Dec 4, 2021

This course was made 5-6 years ago, so it was tricky when I was downloading some of the software. Also, the course required some background knowldege of R programming, which I did not have: this made the course much harder to complete.

创建者 Katie S

May 23, 2021

There is not enough information for those without significant R experience and you will have to spend a lot of extra time.

创建者 Woon C P

Apr 20, 2021

You may need R background before starting this course.

创建者 Jorge E A P

Sep 1, 2020

Demanding course with a lot of valuable content. Unfortunately severely hampered due to the use of discontinued packages and lack of response from teachers on forums. Highly improvable

创建者 郑晓省

Nov 18, 2021

can not download many resources due to outdate website or else, the course need update

创建者 Frank M R

Oct 14, 2022

The course is a waste of time. He spends more time coughing in the videos than explaining. He never explained "why" he does what he does in each video. he doesn't look like a teacher, she looks like a youtuber "explaining the 100 things you don't know about me". In this case "My favorite bioconductor libraries".

创建者 Cheryl L

Jun 6, 2024

This course is embarrassingly out-of-date. The various packages that are taught in this course have changed so much that the commands used in lectures no longer work.

创建者 Robert D

Jul 18, 2021

Extremely out of date and very poorly structured. This course is only barely relevant at this time.

创建者 Andrés H P C

Sep 26, 2023

Great course and great teacher. Not a basic course, I'm developer since many years mainly in JAVA, etc, and I can say that this doesn't feel like a relaxed course.

创建者 Julio T

Sep 20, 2023

This course is exceptional, the Teacher is beyond good. Fantastic!

创建者 Shreshth G

Oct 7, 2021

I learned very much about Biocnductor from this course

创建者 Can W

Dec 16, 2016

It is a good start for people who study epigenomics!

创建者 Weronika Z

Mar 28, 2024

I learned a lot, thank you!

创建者 Hewan D

Oct 26, 2020

Excellent course.

创建者 Aston S

Aug 26, 2020

Great course..

创建者 Dina A

Jul 13, 2022

great

创建者 John C

Jul 15, 2020

This course has a steep learning curve and requires fairly extensive reading outside the lectures, but covers a lot of really useful functionality in R and how to access external information. The supplementary materials provided in the lecturer's GitHub are hugely helpful:

https://kasperdanielhansen.github.io/genbioconductor/

Overall a good course, although I would recommend getting an introduction to R from another resource first in order to have some idea of basic functionality. The course materials are otherwise fairly complete and everything that is not included can be found on Bioconductor Vignettes and help documents, although it would be very useful to have code examples for answers on the quizzes once you've passed - it's not always easy as a beginner to know if you've come to the right answer in the most efficient way.

创建者 Oliver S

Aug 25, 2018

The lessons are fairly easy to follow - although the transcript needs re-writing so that the correct words are identified to the speech. I spent a lot of time trying to decipher one or two key words.

The quizzes seemed to test on concepts not yet taught.. perhaps familiar to other Bioinformaticians.. so they were quite tough and required a lot of time to finish.

创建者 Ye Y

Jul 19, 2020

Personally speaking, some previous experience in R is necessary for understanding of this course. Great content overall (with very knowledgeable instructor), but some updates to reflect more recent sequencing advances will make it better. Workload is quite heavy for this course (10-15 hours per week), and expect some suffering while working on the quizzes!

创建者 VICTOR D C R

Jul 27, 2025

A couple of more explanation about the elements of each coommnad would be nice, so it can be easier to relate what elements each function needs. In comparasion with other coursers, I'm glad about the multiple option quizes... it makes working with newer versions and data bases.

创建者 Adrián G R

Nov 24, 2020

I have learned a lot, also struggle a lot! The course could be improve by giving a small explanation before going into the quizzes and by adding the supplementary material in a note at the start. However, the course gave me what I expect.

创建者 sandeep s

Dec 5, 2016

The course is tough and needs lots of practice and time to handle the stuff explained in this course. In my opinion the stuff should be split into 2 courses (partA and partB) with detailed explanation of every covered topic.