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Volver a Biology Meets Programming: Bioinformatics for Beginners

Opiniones y comentarios de aprendices correspondientes a Biology Meets Programming: Bioinformatics for Beginners por parte de Universidad de California en San Diego

4.5
713 calificaciones
194 revisiones

Acerca del Curso

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....

Principales revisiones

DL

Apr 18, 2016

I give this course 5 star because I did Bioinformatics I and I totally enjoy it.\n\nThis is where programming can be fun, and practical, and you'll learn some basic biology too.\n\nWhat's not to love?

HL

Aug 16, 2017

I learned a lot from this difficult and time-consuming course! It covers biological concepts using Python. It made learning Python more interesting for me, since I have always loved biology.

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51 - 75 de 189 revisiones para Biology Meets Programming: Bioinformatics for Beginners

por Ahmed A A M S

Aug 25, 2017

Very insightful in the Bioinformatics field, for those considering it as a career

por Sara M V

Feb 10, 2017

It was a really interesting course! Some exercises were challenging but it was very rewarding when you found the solution.

por Zhi N

Feb 08, 2017

True introduction to Bioinf.

It helps a lot.

por Hleb P

Jan 10, 2017

Good introduction to specialization

por Philipp M

Aug 10, 2017

I really enjoyed this course! That's why I will definitely dive into the Bioinformatics Specialization. The presented material is well explained and the coding challenges are increasingly demanding and motivationally designed. Furthermore the instructors are always helpful pointing in the right direction without revealing too much.

Maybe a little advice: If you are completely new to programming or biology (or perhaps both) be prepaed to spend more than 4 h/week because you'll propably need more training time.

por 孔令根

Sep 13, 2017

My major is biotechnology, I have learnt C program before and I quite enjoy programming, but my major courses have nearly nothing to do with programming, which made me worried about the waste of my knowledge. But now, I feel so excited and refreshed, cause I have learnt how to connect both subjects! And I want to say that this course is very clear with beautiful illustrations and has lots of expansion which can lead us to continue further study, though I have a problem that I can't watch the teaching video, what a pity~

And I'll definitely continue the following course: Bioinformatics Specialization!!!

por 张悦康

Jun 18, 2017

It is a wonderful course! I

por 崔新

May 05, 2017

非常好的一门课,不仅学习了算法,而且锻炼了自己的编程能力

por Amine L

Jul 04, 2017

Too bad we can't use NodeJS/Javascript for this course

por Jiashuai Z

Feb 28, 2018

I learned a lot, especially programming

thought in Biology.

Thanks!

por Vidisha G

Apr 22, 2017

Personally, I never believed I would enjoy coding, but I had a deep interest for biology. This course not only helped me develop an interest and grasp the basics of programming in python but also gave me an insight as to how I can use this knowledge I gained in various fields such as bioinformatics.

por 刘瑞阳

Sep 23, 2017

This course really fits for beginners with zero coding background... Personally, I struggled at first for a while(and the exercises took more than 4 hours per week, as suggested in the webpage), but things are getting better then.

por DNA-AND-NAD

Jul 09, 2016

很好

por Pietro

Jul 28, 2016

Excellent course for beginner like me!!!

Thank again for introducing me to this matter.

por Ratthachat C

Oct 16, 2017

Great beginner bioinformatics course for computer scientists (note that I have no Python experience before, but it can be learnt from this course)!

por brennon s

Jul 31, 2017

Well written and easy-to-follow. Requires very little searching for information not presented in course

por Satavisha R

Jun 16, 2017

Amazing course. I learned plenty and can't wait to learn further more and apply the concepts to my work.

por Isabella

Feb 11, 2018

Fantastic course. If you are a Python beginner it is a great way to practise solving problems with Python. While also learning about DNA, which was absolutely fascinating.

por Aulia M

Oct 09, 2016

Really helpful to understand basic bioinformatics.

por David A L G

Sep 04, 2017

This course is perfect as a first approximation to codes and algorithms in Bioinformatics. It will fit very well for begginers!!

por Phan D D

Mar 29, 2016

Awesome!

por David D

Aug 02, 2016

Nicely designed course. Frustrating at times but well worth the effort.

por Jordi M

Dec 25, 2016

Challenging and interesting. Only downside is the lack of help in the programming sections. I had been stuck on one of the last code challanges for more than a month without anyone of the staff answering my messages in the comments. Besides that, great course and content.

por Feng-tsan C

Feb 25, 2017

Step by step method.

por Morgan M

Aug 07, 2017

Definitely challenging. If you are new to Python, you will need to do the CodeAcademy course and have a solid grasp of dictionaries, lists, and string manipulation. Even if you do know programming, you will likely spend more time than estimated on each week. I spent probably 8 hours per week. That said, it is extremely rewarding. I highly recommend this.