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Opiniones y comentarios de aprendices correspondientes a Python for Genomic Data Science por parte de Universidad Johns Hopkins

4.3
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1,021 calificaciones
184 revisiones

Acerca del Curso

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....

Principales revisiones

KR

Jul 17, 2018

A very good course for its length and the amount of time it requires. It improved my python skills and knowledge of Genomics. I'm more engaged in my pursuits than before taking the course.

JD

Oct 07, 2017

Easy to understand and very powerful examples. Not just it made me familiar with python, it also made it easy for me to teach to my students and inspire them to pursue python further.

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126 - 150 de 179 revisiones para Python for Genomic Data Science

por Andrew M

Aug 22, 2019

Very informative course for people working with genomic data

por Pisut P

May 30, 2020

This course is superb. All the knowledge is practical.

por Supreetha

May 01, 2020

Best course and learning method is unique.

por Danielle K

Jan 21, 2018

part "sys" of week 4 is really unclear

por Nimmi P

Jan 26, 2020

Good insights ... Thank you

por Yu-Chi L

Oct 14, 2019

I learn a lot here! Thanks!

por Shivam P

Jun 29, 2020

It was a wonderful cousrse

por Gonzalo C S

Jan 05, 2017

It was good and practical.

por Palash K

May 13, 2020

It was Quite Informative.

por Satarupa B

Aug 12, 2019

final exam was tough

por Sarvanshi S

Jun 10, 2020

A very good course

por Ramakrishnan

May 04, 2020

good entry point!

por Guilherme M P

Oct 03, 2017

VERY GULD!!!

por Lily Z Z

Jun 19, 2018

Great leaps of difficulty seem unavoidable in this kind of courses. It felt rather easy at the beginning of the course but the level of difficulty just increased exponentially. Programming actually takes a much longer time than simply 4 weeks to learn and practice to be skillful. So please add some sort of warning stating"decent background knowledge required" to the course introduction or it will be a torture taking the course as a completely beginner. The course design could have been done better.

por sally s

May 07, 2016

I enjoyed the lectures, but I felt they didnt go into enough details on analysis of sequence data. The final project was considerably harder than the material taught in the class and problems with the course (e.g. the final exam file not being available) had obviously not been fixed since the last version of the course. A fell I now have a good basic understanding of python but not enough to do any real analysis. Fantastic course mentor/TA.

por JoRa

Apr 25, 2020

If you're an absolute noob, I'd rather recommend to do a basic python course first, otherwise you wont be able to do the course without learning those basics on the way.

All in all the course was OK, but could be a bit more hands on, e.g. providing more data to analyse oneself as in the last final exam. Compared to the GALAXY course in the second lecture, this final exam is rather easy.

por Marcel V N

Nov 25, 2018

I took this course without a background in biology or genetics. The material sounds interesting but the lecturers rush through it so fast. They do not provide sufficient explanation of the biology to allow completion of the programming assignment. They ask to write a code for finding ORFs yet they don't even explain how ORFs are defined in case of multiple start codons and end codons.

por Bartłomiej P

Jun 19, 2020

The course in no way prepares the student to complete the final exam of the course, if this course is for people without any prior python experience, I really pity the ones that had to go through it.

I myself had some experience but it was challenging for me to do the final quiz, but it was fun.

The course is overall good but needs some updates from the tutors.

por Siddhartha P

Apr 24, 2020

Quite badly prepared course. The final exam assignment was challenging but unfortunately the methods etc to arrive at the solutions were not discussed in the main lecture of the course. It needs lot of working so that the focus should be given on learning rather than arbitrarily increasing the toughness level for the exam.

por Dave S

Apr 20, 2020

The assignments can be difficult with little guidance on the best approach to take and not to much activity on the forums. The questions can be difficult because of the formatting used and the way python uses format to decide program flow. The final exam takes considerably longer than the rest of the course

por Aditi D

Jul 07, 2020

This course teaches you basics only, but when the questions are asked in the quiz they are no where related to what has been taught, and the level of difficulty of those questions is really high.

por Benson N M

Jun 17, 2016

I think someone who has never coded before can approach this course. However, further reading of the resources presented will augment what has been taught and to better handle the quizzes.

por Antoon L

Jan 11, 2017

A good introduction to Python, but the course is a rather short & I think more could have been said about genomics-specific functions, modules, etc. and how to use them.

por Priscilla C

Apr 13, 2017

I didn't know anything about programming and needed a lot of help with this course. I would have like more help in getting python and its complements install. Thanks.

por Rami B

May 02, 2020

Methods of assessment were far more difficult than lectures. However, the course does cover an appropriate overview of python in genomic data science.