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Biology Meets Programming

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.

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Rating 4.1 based on 207 ratings
Length 5 weeks
Starts Jun 26 (44 weeks ago)
Cost $49
From University of California San Diego via Coursera
Instructors Pavel Pevzner, Phillip E. C. Compeau, Phillip Compeau
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Science
Tags Computer Science Life Sciences Software Development Bioinformatics Health Informatics

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What people are saying

for beginners

Can be more interactive with videos for beginners for more comprehensive understanding.

excellent for beginners, very informative and encourages we learners to take specialization in Bioinformatics.

Good class, great for beginners to get started!

This course is pretty interesting, but I wouldn't say it's a course for beginners.

This is billed as a course for beginners, but it leans heavily on one's prior skill in programming.

Highly recommended for beginners.

The course structure is good and delivers on its title of Bioinformatics for beginners.

Also, the explanations in the course itself are very, very rudimental, although the optional videos do a better job here.All in all, I am glad I had the possibility for learning something new and I fought myself through the course but please don´t believe that it´s suitable for beginners.

it was enjoyable Not at all for beginners.

As the title saids, this course is pretty good for beginners.

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very interesting

I doubt this course will ever happen... Great course, very interesting.Some of the python quizes are confusing but the comment are surely helpful!

Very interesting course, but its estimated time is about 17 h 20min.

Excellent course to learn Python programming and great way to learn very interesting topics in biology and be introduced to bioinformatics.

Very interesting introduction to two topics at once- genomics and Python programming, resulting in a perfect storm for me!

Very interesting but i don't like switching e-learning platforms It was a really interesting course!

The biological problems motivates the biologist to go through the abstract mathematical concepts(but I have to admit there is a threshold where the biologist can not get it well anymore(greedy motifs, gibbs ...) and I wonder if he does really need it to be practical with day to day problems with chip array seq selex...) be ready you will struggle hard here very interesting!, i liked the stepik interactive lesson very much, i prefer them over lectures Thanks for this nice course.

However, the content is very interesting and I found the videos really useful.

Coming from a Computer Science background this course is very interesting and relatable.

Very interesting course.

A very interesting course, but perhaps not necessarily for "begginer" programmers.

Very interesting and useful, though.

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well explained

The comments section of each exercise is full of people who are unable to solve the exercises because the basics of programming are not well explained.

The presented material is well explained and the coding challenges are increasingly demanding and motivationally designed.

Materials well explained and interesting, stuff very helpful and eager.

It can take a few minutes to an hour, but usually you do this anyways in order to troubleshoot.Outside of the step-by-step function of your code, the broad goals of what you're doing, the aim of your algorithms and the biology, are mostly well explained.

Can't comment on the videos as I never watched a single one, just did the Stepik exercise program.This course is marketed for beginners, but there's a big caveat with that (hence my 4 stars for that deception).I began with a warning, so I'll end with a reminder of that warning:Constructing your coding is not well explained.

Programming part not well explained and too difficult- it can clearly be seen from the comments that many people have the same issues It is a little bit basic, but a great introduction to bioinformatics This course is rather fun to take!!

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my opinion

Further reference material needs to be added in my opinion.

In my opinion, this is a fabulous course and will recommend it for all beginners in bioinformatics.

In my opinion these should have been done on the first week.

But in my opinion it is a little hard for beginners.

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too much

I dropped the course soon because I found it a bit too much.

Going into new websites, going back, signing up, etc seemed like too much hassle for a course I would probably fail.

Furthermore the instructors are always helpful pointing in the right direction without revealing too much.

Too much math and computer coding.

Successfully completing work in Week 4 depends on successfully completing the "GreedyMotifSearch", I didn't search the forum or FAQ too much, but providing more visible support for people who get the correct answer, but exceed the time limit might be useful.

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really enjoyed

Great experience for bioinformatics I really enjoyed this course!

Otherwise, I really enjoyed the course.

I really enjoyed this course, thanks to coursera Challenging and interesting.

I really enjoyed the class, however, I have two complaints/recommendations.1.

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familiar with

But then we had to go work in Python(in ANOTHER website) which I was not familiar with at all.

It makes you become familiar with Python in a way that just the Codecademy course by itself simply won't.

The coding part is pretty easy, so if you are familiar with any programming language, I think the programming part will be easy for you.

I definitely recommend this course to anyone familiar with programming, who is also interested in the bioengineering aspect!That being said, I like the idea of the course, but I encountered some issues with stepik's online classes/texts.. Their servers seem to be down so I am not even able to complete the interactive text part at the time I want (I keep getting 500)..

This course is definitely not for beginners at programming with R. The way every explanation is written is quite confusing for anyone not familiar with programming and made me very confused.

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Rating 4.1 based on 207 ratings
Length 5 weeks
Starts Jun 26 (44 weeks ago)
Cost $49
From University of California San Diego via Coursera
Instructors Pavel Pevzner, Phillip E. C. Compeau, Phillip Compeau
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Science
Tags Computer Science Life Sciences Software Development Bioinformatics Health Informatics

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