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Genomic Data Science with Galaxy

This course is a part of Genomic Data Science, a 8-course Specialization series from Coursera.

Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.
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Johns Hopkins University

Rating 2.7 based on 108 ratings
Length 5 weeks
Starts Jun 29 (3 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructor James Taylor, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Biology Data Science Data Analysis Health Informatics

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What people are saying

According to other learners, here's what you need to know

final project in 28 reviews

This one is totally useless: four lectures of 20-25 minutes and a final project that is impossible to complete based on those lectures.

The staff was mostly absent from the course -- completely absent in the second half when the students realized they could not complete the final project.

Final project is nightmare.

Final project is AWFUL (there is no lecture teaching about variant calling tools on Galaxy and how to manipulate VCF files and THAT`S what they pick for a final project!).

Very fun and educational This is a very good course but I took a lot of time on the final project because it was very difficult since much of the work was not covered in class.

The lectures in no way prepare an individual to tackle the the final project.

The final project is quite apprehesive at first glance, nevertheless its engaging when you pry for furthermore to create the ultimately functioning workflow of demanded results.

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data science in 8 reviews

I took the first offering of this, the second course in the Genomic Data Science specialization, and there are a number of issues that I hope the specialization team can work out.

The explanations given by Dr. Taylor are fairly good, but as with other courses in this specialization and in the Data Science specialization, the depth of the instruction is not quite enough to prepare students for the final project.

Someone recommended that doing command line tools for genomic data science really helped them.Definitely, worthwhile course.

As the second (of 7) course in the "Genomics Data Science" sequence, I had expected to learn more about genomic analysis.

The course is quite easy to take, which is reflected in its ability to inform the needed tools and approaches for doing some very basic genome data exploratory analysis.The Final assignment was however outside the scope of the learning from this course, as principles and anaylsis which are NOT covered by this course (but in a latter Genomic Data Science specialization - Command Line tools) , are required to complete the final assignment.

This entire specialization on data sciences for genomics is a horribly done effort with no co-ordination, inadequate theory, poorly thought out examples and assignments totally different from what is taught var rating = 3;rating += 1; // learn by doingrating -= 2; // learning deprecated and thus useless materialrating -= 1; // chaotic presentation and failure to explain any concepts deeplyreturn rating;>>>rating: 1 Good course, but project was not well explained or executed Overall, a very informative course.

I am taking this course as a requirement for the Data Science Specialization.

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felt like in 6 reviews

The course felt like publicity for the Galaxy platform, and was generally uninteresting.

I felt like there was a lot of information that could have been explained, but wasn't.

It felt like following instructions to push certain buttons.

I felt like I was getting freshman-level lectures and than was given a graduate-level assignment.

I felt like the course project was far more advanced than all the other detail.

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very helpful in 5 reviews

I found going through the galaxy tutorials very helpful.

But at times running jobs in Galaxy was difficult due to their internal issue and the discussion forum was not very helpful to guide.

Still, it is very well doable thanks to the very helpful tutor / mentor.

I hope they add some lectures as whatever lectures are currently available are clear content very helpful class.

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final assignment in 5 reviews

The lectures IN NO WAY prepare you for the final assignment which is supposed to take two hours.

I got to the final assignment and had no clue what to do if you.

About extra options we did not talk at all.Additionally, after all these easy lectures and quizzes we were left with the final assignment that was super-hard.

Even after having submitted my final assignment and peer reviewing others, it is not clear whether or not I or any of my classmates used the correct methods to complete the assignment.

Content is appropriate but does not prepare you for even the final assignment or real genomic problems.

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Project Worker $52k

Golf Galaxy Business Analyst $65k

Project Analyst 6 $81k

Project Scheduler 3 $91k

Project Manager / Project Designer $98k

Global Project Manager, Project ASAP $105k

Project Project Manager Lead 2 $106k

Senior Project Manager / Project Controls Specialist $114k

Project Project Manager/Test Manager Lead $132k

Senior Project Manager, FishNet/Accuvent integration project $136k

Project Project Executive Lead $241k

Project Lead Principal Director of Project Management $260k

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Coursera

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Johns Hopkins University

Rating 2.7 based on 108 ratings
Length 5 weeks
Starts Jun 29 (3 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructor James Taylor, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Biology Data Science Data Analysis Health Informatics

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