Enroll Course: https://www.udemy.com/course/dados-de-saude-publica-com-python/
In the realm of data analysis, accessing and understanding public health information can be a significant challenge, especially when dealing with government-specific formats. However, a new Udemy course, ‘Dados de saúde pública com Python’ (Public Health Data with Python), promises to demystify this process, particularly for data from Brazil’s Ministry of Health.
This course tackles the hurdle of proprietary government data formats head-on. It guides students through obtaining official health data from Brazil’s DataSUS platform. The key to making this data accessible lies in a program called TabWin, which is used to convert the government’s native format into the widely usable CSV format. This conversion is a crucial first step, transforming potentially inaccessible data into a format ripe for analysis.
Once the data is in CSV format, the course shifts to the powerful environment of Google Colab. Here, students will learn to write Python scripts that clean and structure the data, making it ‘user-friendly’ and easy to analyze. A significant advantage highlighted is that no prior software installation is required on the student’s computer, making it accessible to a broad audience.
The course utilizes a specific dataset for demonstration: ‘Acidentes com Animais Peçonhentos no Brasil’ (Accidents with Venomous Animals in Brazil) from 2017. This dataset, sourced from the Information System for Notification Diseases (SINAN), is remarkably comprehensive, boasting nearly 100 columns. It contains rich details such as the type of animal involved, accident dates, patient demographics (age, sex), occupation, and location of occurrence, covering over 200,000 cases.
What makes this course particularly valuable is its scalability. The techniques taught are not limited to the venomous animal accident dataset. The instructor emphasizes that the methods can be applied to any dataset extracted from SINAN. This opens the door for students to explore a vast array of public health issues in Brazil, including exogenous intoxications, dengue, zika, chikungunya, yellow fever, Rocky Mountain spotted fever, Nile fever, hepatitis, and many others.
For anyone looking to delve into Brazilian public health data, understand disease patterns, or conduct research in this area, ‘Dados de saúde pública com Python’ appears to be an excellent starting point. It provides practical, hands-on skills in data acquisition, transformation, and analysis using accessible tools. The ability to leverage this knowledge across multiple health domains makes it a highly recommended course for aspiring data analysts, public health professionals, and researchers interested in Brazil’s health landscape.
Enroll Course: https://www.udemy.com/course/dados-de-saude-publica-com-python/