Learning to think with data
A space to understand what you’re doing when you analyze, model, and visualize.
The world of programming can feel hostile to those coming from other backgrounds, but it doesn’t have to be. At Atelier de Código, we believe that learning to program is more than mechanically following a list of commands. This site is a laboratory of ideas on data analysis from a scientific perspective. We learn not only how to do things, but also why we do them this way.
Programming is not about repeating recipes: it’s about making decisions.
Latest articles
What you can learn here
R programming applied to real data
Clear guides for loading, transforming, and visualizing data with tidyverse, ggplot2, and reproducible workflows.
Quantitative analysis with methodological rigor
Accessible explanations of models, analytical decisions, and statistical tools, designed for social science and educational research.
Data science fundamentals
Introductory and in-depth texts on machine learning, reproducibility, and analysis project design.
This space is growing
In the coming months you’ll find:
- Downloadable materials
- Structured courses
- Support for data analysis projects
Because learning data is not just consuming content: it’s practicing, making mistakes, and thinking again.