Enroll Course: https://www.udemy.com/course/dados-de-saude-publica-com-python/
The course ‘Dados de saúde pública com Python’ on Coursera is an excellent resource for anyone interested in public health data analysis, particularly in the Brazilian context. Designed to be accessible and practical, the course guides students through the process of obtaining official health data from the DataSUS website, transforming it from government-specific formats into CSV files using TabWin, and then analyzing it with Python in Google Colab. One of the standout features of this course is that it requires no prior software installation, making it accessible to learners with varied technical backgrounds.
Throughout the course, you work with a real-world dataset regarding accidents caused by venomous animals in Brazil in 2017, extracted from SINAN. This dataset is rich with nearly 100 columns, containing valuable information such as the type of animal involved, date, patient’s age and sex, occupation, and location of the incident, totaling over 200,000 cases. The skills learned are highly versatile, allowing you to adapt the techniques to analyze other health issues like dengue, Zika, yellow fever, and hepatitis, among others.
I highly recommend this course for data analysts, public health professionals, students, or anyone interested in health data exploration. The practical approach, combined with real-world datasets, makes it an excellent choice for those looking to develop hands-on skills in health data analysis using Python.
Enroll Course: https://www.udemy.com/course/dados-de-saude-publica-com-python/