This course is for beginners only. When the instructor starts to explain the euclidean distance between two points, you fell that you picked the wrong course. Don't expect to learn R with this course. All scripts are already written. You will only change some values and run them again.

When I first took this class, I quit after week 1 because no background in R. I taught myself some R and re-took the class, and that helped a lot. If you don't know anything about R and Molecular Biology, don't take the class. It's very intense, but the instructor (very nice person) does not go in detail over the concepts, so don't expect to master KMeans etc. after this course. There are also issues with CBioportal website, the videos and quizzes are for an older version of Cbioportal. Several students alerted the instructor about this, but no update was done.

Outdated

Course materials are outdated and I can't really say I learned anything from this course, felt like I was just going through the motions to produce answers rather than actually learning anything useful.

I really enjoyed this course, it will serve as a very fundamental foundation as I aim to carry out further studies on bioinformatics, the lectures has a way of making strange terms understandable and able to work with. I particularly enjoyed the quizzes that followed the lectures, I believe I have been set up for further studies in this interesting field. I must also mention that the resources are very deep and helpful too.wonderful job ma!!

Really interesting course. I am biologist and Data Scientist and I learn so much and discover all the potential we have with big data we can find for free. I miss the course don't finish creating a group of people to investigate together in cancer research to help people and find a solution for cancer. Thanks so much! Beatrice you are great!

Highly recommended! A great yet in-depth course on data science and bioinformatics.

In my opinion it is a good intermediate level course that explains basics of genomics and transcriptomics Big Data analysis. The only issues with this course are concerning unupdated question list which does not correlate with cBio-Portal data or it's new framework, quite easy R tasks, would have like to see more intricate objectives and questions.

It is not updated. The interface for cBioPortal has changed, and some exercises cannot be done as they are described on the course. Furthermore, some concepts related to the machine learning algorithms explained in this course can be found with much better explanations in YouTube...

1. The course contents were released around 2015 and should be updated, especially on the instructions about cBioPortal, and the environment of the R version. Otherwise, the student cannot obtain the correct answers.

2. The slides on Gene's background knowledge were not available

3. The classification part in week 5/6 needs to be updated.

4. No interactive instructions to solve the problems;

5. Only in R programming without Python

Excellent introduction to how to run genetic data analytic applications on a big data infraestructure.

The theorical concepts related to data analytics were explained with highly professional quality; easy to understand for those with a data science backgroud. Also there were efective, efficient and acertive in the on the process of knowledge transference.

An outstanding course that exceed my expectations on regarding to data analytics theory and methods.

A good start. Congratulations.

The course has some minors mistakes that does not affect the essence of it.

Great course, it was exactly what I was missing to help me progress in my work analyzing genetic data. By studying the content, I gained in a short amount of time the new skills I needed to analyze genetic data. The course is very rich, and I enjoyed it very much. It is very visible that the professor is an expert in this field !

This course is very well organized, has a ton of very practical information I could not find anywhere, all made available at your fingertips. I really enjoyed all the material, and am grew in confidence in analyzing big data from biomedical domains. Thank you for spednign the time putting all this material together !

This is an excellent course to learn about fundamental to intermediate level of "Big-data" in biomedical sciences and effective analysis. Very well designed and perfectly delivered by Prof. Bichindaritz. I would strongly recommend other genuine bioinformatics aspirants to enrol for this very course.

Thank you. :-)

I was quite easy complete the course within 6 weeks. Able to learn Cancer Genome Data Analytics such as finding DEGs, and disease related genes and gene alterations with practical examples including clustering, network, pathway analysis.

It was a great experience having this course. The program was very well designed for learners. One can get a lot of knowledge about BIG DATA after this course. Wish to do more courses from coursera in future. Thank you.....

I really enjoyed the workshop and advanced R were taught. The course is detailed and I have gain alot of skills in terms of prediction and analysis. I like to see more advanved course. Thanks all, really appreciated.

prof.Bichindaritz is very kind, the course useful for beginners interested in bioinformatics. And many useful resources are provided. Hope for more weeks introducing life science data analysis!

Very practical and easy to follow. The quizzes definitely help you retain the knowledge from the lectures. The hands-on with Jupyter Notebook was my favourite part of this course! Thank you!

Really enjoying the way she is teaching. Very easy to learn and practice. I strongly believe when I will complete the course I will gain a remarkable skill on Big Data, Genes, and Medicine.