16 июля 2018 г.
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.
14 июля 2022 г.
It was easy in the beginning but gets hard and changing at the end.
It was such an honor th have a course with Professor Salzburg.
I would recommend it to all bioinformatics lovers.
автор: Miglė Š•
16 нояб. 2020 г.
I give 3 stars because I did learn a lot, however it should be known that this course is abandoned by the staff, the quizzes have errors in them and difficulty is very high if you don't have any prior Python experience. However it is a good way to see how you can apply your Python knowledge for biology.
автор: Kerry A•
6 сент. 2020 г.
The final exam was too much of a step up from the course material. Not having official solutions to refer to afterwards also sucks, because I'm not sure how to improve my code. Really struggled with the coursework, and even though I passed the exam I feel quite disappointed.
автор: Manuela L•
16 мар. 2021 г.
This is the second specialization I take in Coursera (I took Statistics with Python from Michigan University). I am really disappointed with this course. It was clearly made years ago and dropped on line but is not really an online course. There is no interaction between the teachers and the students, questions in the forum remain years unsolved and there are no actualizations. The videos are very basic and the level of final exam is extremely high. What I can say is that almost all that I learnt was by myself on the internet trying to solve the final exam.
автор: Carmen B•
22 авг. 2021 г.
A very large portion of the code in this course material does not work, even when copied directly. Moderators don't post the discussion forums where students are trying to help each other due to lack of guidance. Some of the moderators have never posted in the forums at all - 1 of them has only posted 3 times.
People who have used Python have commented in the forums that the code formatting in the quizzes is terrible, and that they have to use their existing understanding of Python to be able to get to correct answers. This course is marketed to people who have no prior knowledge of Python. Many are just completing quizzes by repeating them over and over until they get the right answers.
In short - don't do this course if you are looking to learn. It has been abandoned by Johns Hopkins University. If you just want the certificate, just keep trying till you get the right answers and youll be fine.
автор: Ahmed F•
28 июля 2016 г.
Poor lectures by one of the instructors makes it hard to listen.
автор: Nur A A P•
20 апр. 2020 г.
Nothing about genomics is taught.pretty much disappointe.
автор: Mahmoud m M•
2 окт. 2016 г.
Very poorly organised material and illustration
автор: Dr K R•
24 апр. 2017 г.
автор: Andrés H P C•
12 июля 2021 г.
I recomend this course to any person interested in bioinformatics. Amazing teachers all along the specialization!. My conclusion is the following: I have lots of experience working in java development, and I know very well what is about to construct a software solution. But this course is not about that, this course at the end is about understand some main problems in genomics, like mainly the analysis of Open Reading Frames, and then start to give it our version of the solution, in this case using Python as a tool for the explotation of data and analysis. Easy are the modules about Python if you are programmer, but in my experience the final assestment is far as being easy. Thank you! to any one who was involved in the development of this course, I learned and enjoyed very much!
автор: Michael J M•
11 мая 2016 г.
Really good introduction to Python, Genomics in the two together. This was the first Python course - of many - I've since done and then gone on to use Python professionally and for my own 'Hacker/Maker' projects.
A few typos / mis-alignments between the slides and the explanations - but nothing serious. The presenters know the material and present it well.
A couple of good TAs (full disclosure - I am / have been one of the less good ones!)
автор: Charles W•
21 июня 2020 г.
Out of what I have tested so far, I think this is the best Coursera course for beginners.
I frequency use regular expressions, so I think that might be helpful. However, you also thought of things that I frequently use that I might not have remembered were important for beginners. So, perhaps there could be a recommendation of what to do to learn more intermediate skills?
автор: Zirlane P d C•
22 июня 2020 г.
The course was very good, in general. The instructors and classes were also good. I'm a beginner in python, so I had a lot of difficulties. The final test was difficult for me, I couldn't solve all the questions. I think the course could offer more basic classes, but I intend to study more to understand some points that were not clear to me.
24 нояб. 2016 г.
Thanks for the interesting course made by two brilliant teacher. This is my first time to learn something about computer science on coursera and I really enjoyed this kind of experience. As a beginner of Bioinformatics, this help me a lot. In the futrue I will continue focusing new courses on coursera provided by Johns Hopkins University!
автор: Animesh U•
25 мар. 2019 г.
This was an in-depth course about python. Being a doctor, it was tough grasping all the content. And considering the short amount of time I have, this course taught me a lot; however I needed lot of external help to finish it thoroughly. Thank you so much for this one, it will really help me in my future endeavors.
автор: NARAYANA S K•
15 мая 2020 г.
Great way of teaching. Hats off to the teachers. This course is excellently designed for biologists like me. The basics were clearly explained with subject examples. This created more interest in sticking to the videos and course. Thanks to the academic faculty.
автор: Ziliang L•
2 авг. 2018 г.
This is a very good course. I do learn some useful stuffs for biological analysis. But I want more from the Biopython section, that's the reason I register this course. It would be nice if they can provide the test data and expected result for us to test our code.
автор: Tim B•
6 июня 2021 г.
Finally found a python course that works with a fasta file. I think I would have struggled if I didn't take some python intro courses before taking this. I enjoyed this because I can apply what I learned toward the sequencing data from my work.
автор: Borys J•
29 сент. 2016 г.
Really fun and well explained but very basic. It's just an introduction to Python with a brief presentation of the Biopython module. I guess the next course, Algorithms for Dna Sequencing, is meant to give more grasp on Python for Biology.
автор: Gustavo D O•
16 янв. 2017 г.
Very good course. The course material goes from basic to more advanced content in a very catching way. The quizzes were well structured with very interesting challenges. I definitely improved my python skills a lot in this course
автор: Nicolas C•
9 янв. 2022 г.
Excellent course, would love to have more time allocated to study Biopython. Learning Python in itself is fairly accessible today and any good quality Python course could be listed as pre-requesite for this one.
автор: Kushal R R•
29 сент. 2020 г.
Thanks a lot Professor Steven and Partea for giving me to such opportunity to attend the course. . I would love to show my heartiest gratitude to coursera for giving me chance to learn and hope to never give up .
автор: Ajay K•
11 мая 2020 г.
Initially, I thought it's a perfect course for Biopythons' neophyte learners later I realized in week-4 I realised its quite intermediate but in final quiz activity, It opened my eyes (Difficult than expected).
автор: Hari S•
23 июня 2016 г.
The best introductory python tutorial I've come across.......concise, very well organized.......
I wish this team come up with a series of courses gradually introducing more advanced topics in this area.....
автор: ANKITA M P•
5 мая 2020 г.
Clearly explained about the concepts of Python programming and Biopython. Biopython should have been discussed a little more precisely. Overall I enjoyed learning the course. Thanks to both the professors!
автор: Negin H•
13 мая 2022 г.
It was a great course, even if you do not have any knowlege about Python. I work with Python but it was so interesting for me especially with the application in genomic data science.
Thank you so much.