The Fundamentals of Data Science in Healthcare: Applications with R 2024/2025 course is a unique training program in Portugal, integrated into NOVA NSPH commitment to developing innovative training programs in the Digital Health field.
This fifth edition aims to present the future of precision healthcare, providing participants with new ways to analyze real-life data, collaborate on complex projects, automate repetitive reports, bring data to life with interactive dashboards, create automatic reports, and integrate the power of ChatGPT4 into the workflow to achieve insights. All of this with the help of RStudio (POSIT®) - a software that allows data transformation, enhancing the efficiency and accuracy with which data is collected, processed, and presented, mastering machine learning practices, and developing predictive models for care improvement.
With a practical focus, this course is designed for those who want to lead trends, acquiring highly recognized skills in the job market.
Objectives
With this course, you will be able to:
- Understand and apply best practices in R and RStudio and in data science projects
- Create and customize professional reports in various formats using Quarto
- Manipulate and explore data using tidyverse tools
- Build data visualizations and spatial maps with ggplot2
- Apply statistical methods and build inferential and predictive models in R
- Develop, fine-tune, and evaluate Machine Learning models using tidymodels
- Automate reports and create dashboards, and use version control tools for project collaboration.
- Carry out an end-to-end project (capstone) and present your results, demonstrating your skills in Data Science.
Career Opportunities
The course is aimed at all those interested in deepening their knowledge in Data Science in the healthcare sector, particularly healthcare professionals (physicians, nurses, healthcare technicians, hospital administrators, health economists, and managers who want to lead based on real-world data) , Researchers (including doctoral, master's, and postgraduate students).
Format
This course has a blended learning format with 2 face-to-face sessions and 6 online (asynchronous) sessions. It will be given in Portuguese and English.
Each module is structured to provide specific and essential tools for the practice of Data Science. The Machine Learning module is taught by a researcher experienced in these methods, ensuring practical and in-depth learning. Students have exclusive access to an e-book with class content and the entire code repository.
Each student will have the opportunity to develop and present a final project (capstone) based on real-world data, applying all the knowledge acquired during the course, consolidating theory and practice in a real context. All editions feature a masterclass with a guest from the business world with expertise in Data Science.
COORDINATION
André Peralta
FOR MORE INFORMATION
Helena Matos
helena.matos@ensp.unl.pt