Introduction to R for Health Data Science: Hands-on training
A course by Carlos Matos
📆  November 22-23 & 27-28, 2023
⏰  09:00–17:30
🏨  ISPUP
Course Overview
This hands-on training will provide an introductory overview of the basic tools for effective health data science with R, using the tidyverse collection of packages.
You will learn, through hands-on exercises, how to import data to R, perform common data transformations and pre-processing, visualize, analyse, model and interactively report your results.
Is this course for me?
This course is aimed at health professionals, researchers, data analysts, post-graduation students or anyone wanting to:
- Start using R as a tool for research or data science,
- Migrate to R from other software (e.g. Excel, Stata, SPSS),
- Expand their data analysis skillset with data cleaning, visualization and interactive reporting.
Instructor
Dr. Carlos Matos is a Public Health Medical Doctor. He started using R to monitor the COVID-19 pandemic, and never looked back.
Since then he has used R regularly in the Health Observatory @ Public Health Department, Northern Region Health Administration, to monitor population health, and in a population health needs assessment for the Portuguese National Health Plan.
He is currently in the 2nd year of a Health Data Science PhD @ Faculty of Medicine, University of Porto, with a thesis focused on the usage of machine learning models to improve cancer outcomes.
