Statistics for Genomic Data Science

I did my best to work through module 1, but encountered one problem after another with installing the various required R packages, due to version issues. From the absence of recent discussion posts it seems that this is not really a current, viable course. From what I have seen of the course, I get the impression that even if package installation went smoothly, the course is more about R than statistics or genomics - which is not what I joined for.

The worst executed course I have taken in 36 years of post-graduate education.1 The instructor speaks so fast it is difficult even for a native English speaker like myself to understand.2. This course is only suitable as a review for people who are experts in the field already. Even if you know how to use Bioconductor and are familiar with programming in R, if you don't know the tools being used already the instruction in the course will not give enough information to be able to do the quizzes without a great deal of difficulty. 3. The examples presented are thrown out in a cursory fashion without enough detail about how the data is being set up or manipulated. Matrices are transformed and recombined with little explanation about why things are being done. 4. Although generalizing from material presented to new applications is a valid instructional approach, the instruction does not give the student enough information to do this and the instructor expects students to be able to figure out new algorithms from vague public domain documentation. 5. Although the instructor makes an impassioned plea for carefully thought out statistical test design, proper documentation of work flow, and appropriate use of p-values, he does not describe the interpretation of statistical tools presented. For example, tools for calculating thousands of principle components in seconds is given, but beyond showing clusters of dots on a graph may indicate a genetic cluster does not explain what the individual points in the PCA mean.In summary, the tools presented are very powerful but are not well described. Extensive revision to the course is needed.

Very good course and useful understanding statistical aspects of data.

Excellent, but I would be grateful if you could translate all your courses of absolute quality into Spanish.

really a good course for people who want to learn use R to dispose genomic data

The professor is really enthusiasm, so I was really impreesed by him. And his teaching is brief, and I can learn key points through the lectures. Great course!

Excellent course! Thank you!

Really great and in-depth class! thank you

talk fast and informative! I enjoyed it a lot.

La semana 3 puede hacerse dura, pero el curso es muy completo y recomendable.

Great course!!!!

very helpful class. instructor very organized.