Mihaela Pertea, PhD
8.4/10
(Our Score)
Product is rated as #156 in category Machine Learning
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. The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life–long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Instructor Details
Votes: 0
Courses : 1
Specification: Python for Genomic Data Science
|
52 reviews for Python for Genomic Data Science
Show all
Most Helpful
Highest Rating
Lowest Rating
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 13 hours |
| Year | 2016 |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
Python for Genomic Data Science
FREE
sonali –
could have included some practical sessions
Valdir B J –
The final quiz was very challenging, but the lectures were simply put.
Onur S –
This is a quick introduction into Python for biological data. I would say there is much more to Python than what’s included in this course, however the material was presented quite clearly. I had to increase the playing speed of the videos a bit, all the slow talking was quite distracting after some time. The quiz questions were sometimes a bit tricky and I liked that. Final exam is much more difficult than the quiz questions and requires significant effort. To be honest it was a bit easy for me to pass, but that’s because I’ve previously solved similar problems at rosalind.info.
Michael G –
Could use more focus on Biopython, less on fundamentals
Limeng X –
very poorly taught,really don’t recommend it. The Algorithm for DNA sequencing is the best in this Specialization.
Galib H K –
The course is great for a beginner. But, Biopython should be discussed in more details.
Dennis K –
I learned a lot. The final exam was more difficult than the course content, but I think it was critical for ensuring that I was able to apply the course content.
Roy L –
The content of the course is quite good, but it would have been nice if they addressed more how to make code run efficiently in Python (e.g. which structures are fast and which should be avoided). Especially during the final exam the way you approach the questions can result in a running time from seconds to hours. As in practice the datasets you will work with tend to be quite large, I think this would be a valuable addition to the course.
Ian P –
The final lecture on Biopython, and the exam exercise are good. The quiz questions are annoying because the indentation is messed up.
Lily Z Z –
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.
Albert C G –
Well Done
Keith R –
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.
Bryan G –
It’s a decent course, but do not expect them to explain much on how to code in Python. It would’ve been much more helpful had I taken an intro course on Python first.
Brandon W –
This course started out very good but spiraled out of control quickly. There was no detail in the later materials (Weeks 3 and 4) in uses/applications which made it virtually impossible to finish the course without spending an incredible amount of time outside of the class attempting to learn material. The early quizzes were not bioinformatics focused and required a fairly sophisticated level of machine learning to answer some of the questions. In regards to the later material, there should be much more detail. For example on learning how to create dictionaries. That was AWESOME! But nothing beyond how to create them and how to use them. This is NOT a beginner course. Also, the female instructor was awful, she read from a que so much that it was easier to just download the PDF and read it myself.
Ziliang L –
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.
Leo U –
Incomprehensible.
Swati –
Very well explained concepts and easy to follow.
Geoffrey K –
I learned a lot from this course, being new to coding. The content is tweaked towards bioinformatic problems and requires a good grasp of the topic to pass.
Andrey K –
Thanks a lot. This course is very helpful for Python beginners.
Marcel V N –
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.
MINQING I Y –
In general the course is good. I can do some programing at the end of the course. Something I think can improve is the question in the quiz and final exam, particularly quiz 3 and the final exam. I spent quite some time to understand the definition of ORF in the exam question, e.g can I have multiple start codon before reaching a stop codon.
Olga D –
Great introduction to Python! The final exam was quite a challenge…
Nitin S –
excellent course for the beginners in python
Stephanie T E –
A really good class for a complete beginner. The first three weeks was great for anyone that has is a beginner in Python. Although the last week took giant steps and was a little bit unclear, especially with the introduction to Biopython. If you are new with Python, this it is a great course, but be aware of the last week being very difficult! I also hope that there can be another course that could go more in depth and explore the functions of Biopython. But besides the difficulty of the last week, this course was really great.
Lila M R P –
Great course focused on python for genomic studies!!!!
Giovani B F –
An excellent introductory course for Python!
Rafal W –
Great Python refreshment course!
Animesh U –
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.
Hamza I –
It helped me connecting between biology and python but i had to learn the basics of python programming from other beginner tutorials.
Yuqi Z –
A great introduction course about essential python programming skills for bioinformatics works. As someone who has experience with other programming language but is experiencing python for the first time, I found that the difficulty of the course is at just the right level. I hope that there can be more stuff about biopython.
samarth K –
A fantastic course for the beginners. More of biopython modules training will be appreciated. Thanks
Robert D –
Class videos provide good information for a beginning programmer, but quizzes are certainly beyond beginner level and cover material not covered in lectures. Potential for a great set of courses, but needs work.
Inderpal S –
very good introductory course for beginners, gives confidence to the biologists to better understand the script
Diti D –
Compared to the lectures, the final exam was very difficult. It would be great if the professors provide more practical examples in the lectures similar to exam questions.
Sachin K –
This course is really a great help for students like me, but it has many small problem which are. The lectures and the questions asked in quiz are very much like two shore of river did not have practically sounds. the lecture are much more focused towards genomics but really problem of data and how to handle that data need to incorporate in the course.
Felipe B –
This course is advanced and fast paced. I found it difficult for those with minimal programming experience.
Satarupa B –
final exam was tough
Julian P –
Excellent course! It provides very solid foundations for using Python as a tool for Genomic Data Analysis. I highly recommend it!
Andrew M –
Very informative course for people working with genomic data
Ibrahim Z –
Thanks for the course, Really useful and nicely organized. Prefer if more Biopython applications is added
pasquale –
Molto bello, utile e sopratutto tutto spiegato in maniera molto semplice e chiara
Yu–Chi L –
I learn a lot here! Thanks!
Yu Chi L –
I learn a lot here! Thanks!
Ruitao Z –
Perfect course and excellent instructors!
Scott E –
so an incredibly basic intro to python and string manipulation? thanks, guys.
Yuxi L –
The final project may be too hard for beginners.
Shashank Y –
Learned so much from this course
Danchurova A –
Very useful course for beginners in genomic data science. Exam was challenging and really interesting.
Matthew Z –
Pretty good, though it’s mostly an overview of Python itself, rather than of applications of Python to genomic data science.
Nimmi P –
Good insights … Thank you
Pedro M –
Really good! The final project was hard but fun!
John C –
Well taught course about handling the basics of Python. The final course project was slightly more challenging than the lectures might set you up for and requires some additional reading and playing around with code, but leads to a rewarding finish. Additional feedback and explanations around some quiz questions may be useful to add for future.