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Command Line Tools for Genomic Data Science

Johns Hopkins University · View on Coursera ↗

Taught by Liliana Florea, PhD

Data ScienceHealth

Coursera
4.0
headline rating
Starisk
2.1
Inflated

About the course

Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

The dissent

The most-upvoted critical review (42 votes, 2.0★).

“I have to be honest. This course was bad learning experience for me. Watching the videos was a waste of time. The instructor is just typing commands without properly explaining the context. All you learn from the videos is probably a list of names of the tools you can use and some of it's syntax, which really doesn't require hours of tedious videos. It may be more productive just to look at the name of the tool and go google by yourself. Watching the videos is like someone telling you HOW to use the tool (how to type the command), but didn't tell you WHAT the tool is doing, and WHY we want to use these tools. The HOW port is explained, but the WHAT and WHY parts? Sorry it's not there. What's funny is that, in the quiz they ask you WHATs and WHYs! At that time you would be thinking: "yea, these are good questions! but they were never explained in the videos. Would have been nice if these knowledges were covered!" That's the time when you go googling, hoping the get some answers to pass the quiz.”

2.0 / 5

Read the full review on Coursera ↗

Coursera's 4.0 comes from 579 ratings. Of those, 14.5% are 1–2★.

Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.

That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.

Reviews read on 23 Oct 2026.Read them on Coursera ↗