similar courses and programs
Opened this issue · 5 comments
- 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
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
@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)
Yes definitely, I think thats a great way to distinguish ourselves from that course.
@linamnt plus we'll have a much much much nicer website 😉 well, we'll have a website, full stop 😉 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.
I liked the material on 'best practices' lecture. and the good code/bad code part can be done in code-along format