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Bioconductor for Genomic Data Science

Johns Hopkins University via Coursera

students interested
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.

Taught by

Kasper Hansen
Cost Free Online Course (Audit)
Pace Upcoming
Subject Bioinformatics
Provider Coursera
Language English
Certificates Paid Certificate Available
Hours 3-5 hours a week
Calendar 4 weeks long
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Reviews for Coursera's Bioconductor for Genomic Data Science
3.0 Based on 4 reviews

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4.0 2 years ago
by Brandt Pence completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
The Bioconductor course is technically sixth in the Genomic Data Science specialization, although I skipped directly to this after taking the third course covering Python. The course covers a bit of basic R programming (although experience with R at the level of R Programming is almost a necessity unless you have previous programming experience and are able to pick up the language very quickly. The course then dives right in to many of the most common Bioconductor packages for genomic data analysis, including GenomicRanges, AnnotationHub, Biostrings, ExpressionSets, and others. The final week includes an overview of getting your data into Bioconductor, as well as some advanced packages.

I found this to be a very good course. I had previously taken the EdX Introduction to Bioconductor course, so I had some experience with most of these constructs, but I still found this course to be an almost perfect balance between challenging and achievable. There were some technical issu…
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2.0 a year ago
by Chrys completed this course, spending 10 hours a week on it and found the course difficulty to be hard.
While the instructor is really good. The course is way to fast paced. For an R beginner, I highly doubt that you will have a good time. The quizzes are pretty hard and more often then not you will have problems with the Versions of R and the packages. I would not recommend this course.
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1.0 2 years ago
by Colin Khein completed this course.
1 person found
this review helpful
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5.0 2 years ago
Anonymous dropped this course.
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