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Biology Meets Programming: Bioinformatics for Beginners

University of California, San Diego via Coursera

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  • Provider Coursera
  • Subject Bioinformatics
  • $ Cost Free Online Course (Audit)
  • Session In progress
  • Language English
  • Certificate Paid Certificate Available
  • Effort 8-12 hours a week
  • Start Date
  • Duration 4 weeks long

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Overview

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Are you interested in learning how to program (in Python) within a scientific setting?

This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gently-paced introduction to our Bioinformatics Specialization (https://www.coursera.org/specializations/bioinformatics), preparing learners to take the first course in the Specialization, "Finding Hidden Messages in DNA" (https://www.coursera.org/learn/dna-analysis).

Each of the four weeks in the course will consist of two required components. First, an interactive textbook provides Python programming challenges that arise from real biological problems. If you haven't programmed in Python before, not to worry! We provide "Just-in-Time" exercises from the Codecademy Python track (https://www.codecademy.com/learn/python). And each page in our interactive textbook has its own discussion forum, where you can interact with other learners. Second, each week will culminate in a summary quiz.

Lecture videos are also provided that accompany the material, but these videos are optional.

Taught by

Pavel Pevzner and Phillip E. C. Compeau

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Reviews for Coursera's Biology Meets Programming: Bioinformatics for Beginners
4.1 Based on 7 reviews

  • 5 stars 71%
  • 4 star 0%
  • 3 star 14%
  • 2 star 0%
  • 1 star 14%

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  • 1
Anonymous
5.0 3 years ago
Anonymous completed this course, spending 16 hours a week on it and found the course difficulty to be medium.
I give this course the full amount of stars, and I really mean it. This course was amazing, among the 45+ MOOCs I have taken it was one of the most engaging and nicely delivered when it comes to the interactive text!

What you gain from this course is perhaps 20 percent of biology and genetics (if you are new to the subject but highly interested, you really get something out of it), and 80 percent computer science and algorithms. The latter is where the meat is in this course, and it does it, if I judge by my own experience, a tad more effective even than Design and Analysis of Al…
3 people found
this review helpful
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Ken S
5.0 3 years ago
by Ken completed this course, spending 20 hours a week on it and found the course difficulty to be hard.
Of the half dozen or more MOOCs I've taken, this class is in the top two. MIT 7.00x, taught by Eric Lander, is the only one that is on the same level. This is the highest compliment that I can give; I loved 7.00x.

The prerequisites I recommend are an introductory DNA class (MIT 7.00x or equivalent), some programming experience, and (optionally) some formal exposure to algorithms. I do not think someone whose lifetime programming experience consists of completing a single introductory Python class will do well, though it is possible. You are allowed to complete the assignments …
5 people found
this review helpful
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Onijingin T
1.0 2 years ago
by Onijingin partially completed this course.
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Michael A
5.0 3 years ago
by Michael completed this course.
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James W
5.0 3 years ago
James completed this course.
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Muratali M
3.0 2 years ago
by Muratali completed this course.
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Klaas N
5.0 3 years ago
Klaas completed this course.
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