similar courses and programs

[SaraMati]

• Department of Biomedical data science, Standford
• Johns Hopkins Biomedical data science
• Johns Hopkins, Neuro Data course
• Joshua T. Vogelstein talk
• Johns Hopkins Neuroengineering
• University of Rochester courses for Biomedical Data Science
• Biomedical Data Science course, Edinburgh
• https://neurohackademy.org/
• UBC stat course
• UBC Statistical Methods for High Dimensional Biology
• https://github.com/eacton/CAGEF

[linamnt]

This is a similar course in IMS, MSC1090 "Computational Biostatistics in R": https://support.scinet.utoronto.ca/education/go.php/399/index.php/ib/1/p_course/399/ib/1/ Home 1 Description 2 Software Details Collapse 3 Lectures 3.1 Intro to Linux Shell I 3.2 Intro to Linux Shell (cont.) 3.3 Introduction to R 3.4 Flow Control and Vectors in R 3.5 Functions 3.6 Scripts 3.7 Best Practices 3.8 Version Control - GIT 3.9 Stats I: Review of Basic Stats 3.10 Stats II: Models, Tests, e... 3.11 Survival Analysis / PCA 3.12 Visualization 3.13 Classification 3.14 Resampling 3.15 Neural Networks 3.16 High-Performance R

[lwjohnst86]

@linamnt nice resource, though I'm really not a fan of putting code on slides to go over them. Code-alongs are better for learning and retention. (the slides from the course I mean)

[linamnt]

Yes definitely, I think thats a great way to distinguish ourselves from that course.

[lwjohnst86]

@linamnt plus we'll have a much much much nicer website :wink: well, we'll have a website, full stop :wink: I think this is something that is actually not appreciated enough. Students, from my experience, really really like that they have the material easily accessible.

[SaraMati]

I liked the material on 'best practices' lecture. and the good code/bad code part can be done in code-along format