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  • Provider Coursera
  • $ Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 3-5 hours a week
  • Start Date
  • Duration 4 weeks long

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This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.

Taught by

Mihaela Pertea and Steven Salzberg

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Reviews for Coursera's Python for Genomic Data Science
2.4 Based on 12 reviews

  • 5 stars 17%
  • 4 star 8%
  • 3 star 8%
  • 2 stars 33%
  • 1 stars 33%

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  • 1
Brandt P
2.0 2 years ago
by Brandt completed this course, spending 3 hours a week on it and found the course difficulty to be medium.
This is the third course in the Genomic Data Science specialization. I have mixed feelings about this course. Much of the lecture material and the quizzes are devoted to introducing students to the Python programming language. Python is used commonly in bioinformatics due to its simple syntax and the wealth of packages (e.g. Biopython, NumPy) available for data processing and genomics. There's very little in the course material that will assist students in actually learning to code prior to the final exam, as most of the quiz questions simply ask students to determine which given lines of code…
5 people found
this review helpful
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Anonymous
2.0 3 years ago
Anonymous completed this course.
Good course for learning (very) basic programming skills in Python, but horrible as a bioinformatics course. I think it was a mistake to gear it towards individuals with absolutely no programming experience, and them make it only 4 weeks long. The reviewer above me is absolutely correct, you really do not learn enough about programming to complete the final project. This course should be geared towards individuals with beginner/intermediate experience with programming, and that way you can focus MUCH more on Python-based bioinformatics tools such as PyMol and BioPython. If you're attempting to learn bioinformatics without knowing programming, you're not gonna make it. Take basic programming courses BEFORE starting any bioinformatics coursework.
6 people found
this review helpful
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Anonymous
2.0 2 years ago
by Anonymous partially completed this course.
Reviewers thank you for sharing your thoughts.

As a first course to learning Python and hoping to learn some bioinformatics application, this course would not be the best choice for absolute beginners. Simply reading and completing multiple choice questions will not equip you with the ability to complete the final project. You learn by practicing to program and the structure of the course is not conducive to best practices in computer science. It was totally discouraging for someone new like me. Appreciate the learning materials though.
2 people found
this review helpful
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Anonymous
1.0 2 years ago
Anonymous is taking this course right now.
This course hurriedly skims through the topics.The quiz material has not been checked so the quizzes often do not have correct choices. Like other reviewers have mentioned above, this course cannot be a standalone for both introducing and doing bioinformatics with python in a span of 4 weeks. I am also going for a personal rant here, sorry guys: Dejan(one of the community TAs is very rude,unhelpful)
2 people found
this review helpful
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Anonymous
1.0 3 years ago
Anonymous partially completed this course.
PLEASE don't pay for this abomination. Better yet, don't even take it. There are good courses on Python both on Coursera and Udacity. This one does not help, and the final project is impossible to complete if you are new to Python.
4 people found
this review helpful
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Chrys C
3.0 a year ago
by Chrys completed this course, spending 2 hours a week on it and found the course difficulty to be easy.
This course is quite easy and will give you an insight into the very basics of python. As a beginner course on its own I would rate it higher because of the good videos and good instructors but since it is supposed to prepare you for other python courses in the specialisation I can not. It is to rudimentary to prepare you and you will have a hard time if you don't have prior expierence.
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Juan R
1.0 2 years ago
by Juan completed this course, spending 4 hours a week on it and found the course difficulty to be easy.
As a seasoned Java programmer learning the basics of Python taught by this course was very easy. However, the course has very little useful material on genomics. The most important failure of the course is that it does not prepare the student for using Python in the Algorithms for DNA Sequencing course in this specialization. Specifically, the Algorithms course uses Anaconda and its IDE, Notebook as used on a Mac or UNIX environment. There is a significant learning curve for Notebook in the Algorithms course which the instructors seem to be oblivious to because they are happily using a MAC. T…
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Natthawut A
4.0 3 years ago
by Natthawut completed this course.
0 person found
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Chema C
5.0 3 years ago
by Chema completed this course.
0 person found
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Colin K
1.0 2 years ago
by Colin completed this course.
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Alex I
2.0 2 years ago
Alex dropped this course.
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Mohammed M
5.0 3 years ago
by Mohammed is taking this course right now.
0 person found
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