opensaludlab/ciencia_datos
El curso en español, de acceso abierto y gratuito más grande del mundo sobre Ciencia de Datos en salud.
This course helps professionals in various disciplines, especially those in public health, learn how to analyze data, design mathematical and statistical models, and create applications to gain insights from information. You'll gain technical and methodological tools to improve decision-making based on evidence, even without a background in mathematics or computer science. The content includes over 100 hours of pre-recorded classes and more than 200 hours of supplementary resources.
346 stars. No commits in the last 6 months.
Use this if you are a health professional or public sector worker looking to apply data science methods to improve health policies and organizational processes, and you prefer a self-paced, online learning experience with community support.
Not ideal if you are seeking a fully guided, in-person course with direct instructor-led project development and real-time workshop support, as some original components are not available in this free version.
Stars
346
Forks
105
Language
HTML
License
GPL-3.0
Category
Last pushed
Mar 06, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/opensaludlab/ciencia_datos"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
GEJ1/Recursos-neuro
Repositorio con recursos de Neurociencia Cognitiva y computacional con amplitud temática.
lgomezt/Intro_Python
Proyectos de Analítica en Python
jbagnato/machine-learning
Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog...
devsebastian44/Conocimiento
Recopilación de todos mis apuntes sobre Tegnología
joanby/python-ml-course
Curso de Introducción a Machine Learning con Python