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Learner Reviews & Feedback for Bioconductor for Genomic Data Science by Johns Hopkins University

3.8
stars
358 ratings

About the Course

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....

Top reviews

AC

Sep 25, 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.

GK

Aug 27, 2019

Before you can run, you must learn to walk.

Kasper's well paced tutorials will give you confidence using the tools you need for genomic study.

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51 - 75 of 76 Reviews for Bioconductor for Genomic Data Science

By Qiyao Z

May 21, 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.

By Essi K

Apr 16, 2018

A great introduction to Bioconductor! The course is very hands-on, so be ready to use R extensively.

By Guillermo N

Sep 23, 2020

Good introductory course. It might be a bit outdated now.

By Tahira M

Jun 12, 2020

A great initiative taken by Johns Hopkins University.

By Sourav S

Sep 4, 2016

A nice course to introduce Bioconductor to students

By Shivani S

Aug 2, 2017

I'm going to take this again! hard one.

By Pedro S S

Jan 23, 2021

Good lectures and material!

By Alex Z

Jul 13, 2017

pretty good

By Ming L

Dec 5, 2017

good

By Mark

Aug 3, 2022

Could have been a lot better. Interesting to learn about Bioconductor but you only have to take a look at the forums to see how many of the questions are poorly worded and need significant additional information to answer correctly. Some of the information on the questions is wrong. The course could do with a thorough review/edit.

By Xue S

Dec 9, 2021

This course teaches you the basic usage of many different R packages. While the content is very useful, the course needs to be better organised. For example, it would have been better if the packages were taught in the same order as they are used in a RNA-seq data processing workflow.

By Elizabeth D

Apr 18, 2018

So far findng the course nice as it covers the basics. I am new to programing and bioinformatics so I am finding it ok. However, would like more of an explanation iwith regards to both the biology and bioinformatics.

By Benson N M

Dec 21, 2016

The quizzes were engaging but i think it requires some knowledge in use R for data science. Though i learned a lot. Thanks again.

By Sael M A

Aug 7, 2018

Need to be simplified. Personally, I understood the lectures notes better than lectures videos.

By tawanda n

Dec 13, 2019

The content should be more recent and should allow for the use of other OS like ubuntu.

By Jacob A

Apr 18, 2017

very difficult course if you are new to R. Otherwise an okay course

By Stefan S

Oct 19, 2023

Info is from years back and some things have been changed since then and at least one command no longer works at all. No help from the professor, most of the help were from students helping each other out, and even than they were from years ago (good luck finding someone to help you today). I am not sure if I am just dumb, but when I was stuck I had virtually no way to ask for advice, and after getting stuck the methods I used to get to the answers were often picked up from outside sources. A lot of googling was required. I recommend against taking this class unless they update it or get someone who you can ask stuff directly. If you need it for a specialization like I did, go ahead, but if you are doing this purely for the sake of learning you might as well save some money and go through the bioconductor website and read up on the documentation on your own.

By Jorge M Z H

Sep 13, 2022

The course is not suitable for beginners. The themes are difficult to understand, specially if you are not familiar with NGS and molecular biology. I knew something about R, so I was able to learn, but it wasn't easy or enjoyable. From the course I only appreciate the additional material on slides and websites prepared to expose the codes, but the tools taught by the instructor are very specific and do not fit in any way to the certificate in Genomic Data sciences.

By Diana K

Aug 2, 2022

This course is not well-structured. If your background is not molecular biology, it would be challenged to understand this material. I suppose introduction is needed. Also, it is expected that you know R because the lesson 'Basics of R' is not full-covered and not comprehensive. Whole course looks like seminar for advanced/intermediate users, because lecturer does not explain in detail.

By Anatoly K

Jan 22, 2024

It seemed that the target audience is people who had already had comprehensive knowledge in genomics, proteomics and transcriptomics and are already good in R.

By María F C G

Oct 25, 2022

The contents and the way they are presented in the course is very dificient.

By Maria P

Jul 30, 2017

A very basic course you need to learn by yourself a lot

By Michaela M

Jan 13, 2024

Out of date information

By Michael P

Dec 14, 2023

Essentially, there is just a bunch of new stuff presented during the lectures and then there is a quiz about it. No idea how you are supposed to remember what is presented. There is no reinforcement through practice, no pointing out what is important, no connections between topics. I spent way too much time trying to figure out in the discussion forum why I am not getting the answers I am supposed to in the quizzes.

By 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".