The idea behind this page is to make available all the ressources I have gathered/created over the years make other people’s life easier.
Another purpose is to create a network of people interested in Data Science and a place for them to find information about it, so really feel free to ask for new stuff and comment on what is not working for you.
Moreover, if you are interested in the project don’t hesitate to share your stuff !
Tuesday (12pm-13pm), 4 April 2023, UniMail M3220 Recording Slides Publish your results online with R!
Dataviz with R and ggplot2. Data Viz Workshop
This practical will teach you the basics of ggplot2.
- Correlation: scatterplot and bubble plot
- Distribution: histogram, density and boxplot.
- Ranking: barplot, lollipop and treemap.
- Evolution: line plot and area chart
Data wrangling with R, Python and Matlab. Data Wrangling Workshop
The main goal of these workshop series is to create the oppurtunity for Neuroscience/Pscyhology master students to improve their skills in data wrangling through active problem solving (with hints and guidelines) that are representative of ‘real world’ problems that one will probably encounter in cogntive/affective neuroscience research.
A non exaustive list of skills/methods we are going to focus on:
- Code reproducibility (dynamic programming)
- Code understandability (comments, style, Rmarkdown, Jupyter notebook)
- Version control and code availability (github)
- Terminal familiarity
- Automatisation (creating functions)
- Data wrangling and vizualisation
Is this workshop suited for you ? check here
Rmarkdown Tips and Tricks. Rmarkdown Workshop
A gathering of tutorials to install and setup different tools to analyze data in psychology and neuroscience.. Software Workshop
Guides for installing and setting up diverse softwares, including:
- How to install and/or setup R, Python (with Anaconda) and MATLAB/Octave
- How to install and/or setup SPM (and some toolbox), FSL and AFNI
- Basic of linux/Unix progamming, cools tips and tricks
- Git setup and tips
Useful tutorials for data science in R, Pyhton and MATLAB: here
Other miscellaneous tutorials and slides about stats (bayesian and frequentist), machine learning (AI, Reinforcement learning, computational modeling), MRI (technicalities and analysis), onlines studies (pros and cons about different recruitment platforms and online experiment builders), Linux/server stuff, more data science/visualization stuff can be found here.