Tutorials for data science

Useful tutorials for data science in R, Pyhton and MATLAB:

Access to every tutorial

https://drive.switch.ch/index.php/s/CJEdwYHVlEx52j2

And my personal github wikihow page with detailed tutorials on how to install different softwares: https://munoztd0.github.io/Hitchhikers_guide_to_the_brain/

Git

Make sure you are familiar with the basics of git and that you know how to “fork” a repository to your personal computer and “push” modifications to github.

Fork a repository:

https://docs.github.com/en/github/getting-started-with-github/fork-a-repo

Commit:

https://dont-be-afraid-to-commit.readthedocs.io/en/latest/git/commandlinegit.html

Creating an issue:

If you encounter issues during the homework you are encouraged to speak about it (that IS one of the main goal of this workshop!) However make it simpler and available to others we privilegy that you juste create an “issue” on the main github repositoryhttps://github.com/munoztd0/Data_Wrangling_NeuroMaster https://docs.github.com/en/github/managing-your-work-on-github/creating-an-issue

Matlab or GNU Octave (free alternative to Matlab) :

Basics (online - free - active coding - videos)

https://www.mathworks.com/learn/tutorials/matlab-onramp.html

Getting familiar with data wrangling and visualization (free - active coding - videos)

https://drive.switch.ch/index.php/s/ZYGtqDasSgNPo3b

Transitioning from Matlab to Python (free - docs)

https://drive.switch.ch/index.php/s/dThUOtWJevWgsKz

Transitioning from Matlab to R (free - docs)

https://drive.switch.ch/index.php/s/pfo9GtrYiyKLk5x

R:

Basics (online - free - active coding - videos)

https://learn.datacamp.com/courses/free-introduction-to-r

Getting familiar with data wrangling and visualization (online - free - active coding - videos)

https://beanumber.github.io/sds192/schedule.html

Basic statistical inference course (online - free - active coding - videos)

https://campus.datacamp.com/courses/statistical-inference-and-data-analysis/

Python:

Basics (online - free - active coding - videos)

https://www.learnpython.org/en/

Getting familiar with data wrangling and visualization (free - active coding - videos)

https://drive.switch.ch/index.php/s/qdbgPKqQ5xljYoA

Getting familiar with Machine Learning (free - active coding - videos)

https://drive.switch.ch/index.php/s/X6mlUhVvdQcEw6S

Neuroimaging with Python (Nipy - FSL - AFNI - SPM)

https://github.com/NIDS2020-instructor?tab=repositories