Fundamentals of Data Science in Health: Applications with R 2024/2025 is a unique course in Portugal, part of NOVA NSPH’s investment in developing innovative training programs in the field of Digital Health.
This fifth edition aims to introduce the future of precision health, equipping participants with new ways to analyze real-world data, collaborate on complex projects, automate repetitive reports, visualize data with interactive dashboards, create automated reports, and integrate the power of ChatGPT4 into their workflow to gain insights.
All of this is accomplished with the help of RStudio (POSIT®) – a software that enables data transformation, improving the efficiency and accuracy with which data is collected, processed, and presented, mastering machine learning practices, and developing predictive models to enhance healthcare.
With a practical focus, this course is designed for those who want to lead trends, acquiring highly sought-after skills in the job market, enabling participants to:
This course is aimed at those interested in deepening their knowledge of Data Science in the health sector, particularly healthcare professionals (doctors, nurses, health technicians, hospital administrators, health economists, and managers who want to lead based on real-world data) and researchers (including PhD, master’s, and post-graduate students).
João Dionísio | Manuel Ribeiro | Pedro Casaca
Guest Masterclass:
Renato Ribeiro | Rui Barros
“Create new perspectives in your career with this unique training offered by ENSP NOVA, which opens the doors to the future of precision health.
Discover how RStudio (POSIT®) can transform the way you interact with data, raising analysis to new levels of efficiency and mastering machine learning practices with predictive models that can improve healthcare. Learn how to analyze real-world data, bring it to life with interactive dashboards, collaborate on complex projects, automate repetitive reports, and integrate the benefits of ChatGPT4 into your workflow to gain new insights.
With a fully practical focus, this course is designed for professionals who want to follow trends and acquire highly sought-after skills in the job market.
If you’re ready to be a pioneer in a world where data and healthcare intersect, register today and be part of the data revolution in healthcare.”
André Peralta (Course Coordinator)
M1: Fundamentos de Data Science em R
M2: Ferramentas de Produtividade em Data Science
M3: Manipulação e Exploração de Dados
M4: Visualização de Dados
M5: Inferência e Modelos Estatísticos
M6: Machine Learning com R
M7: Ferramentas Avançadas de Data Science
M8: Final Project (Capstone)
Masterclass: Rui Barros (Jornal Público) and Renato Ribeiro (Microsoft)
Total (ECTS)
4
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2 online sessions
September 21 and November 16 | 9:00 - 16:00
6 online sessions (asynchronous)
From September 23 to November 8
Masterclass
October 25, 2024 | 14:00 - 17:00
Each module is structured to provide specific tools essential to Data Science practice. The Machine Learning module is taught by an experienced researcher in these methods, ensuring a hands-on and in-depth learning experience. Students will have exclusive access to an e-book with course materials and a repository with code.
Each participant will have the opportunity to develop and present a final project (capstone) based on real-world data, applying all the knowledge gained throughout the course, consolidating theory and practice in a real-world context. Every edition includes a masterclass with a guest from the business world with experience in Data Science.
The course will be offered in both Portuguese and English. A laptop with internet access and R Studio software installed is required for participation (programming knowledge is not necessary). Students will have exclusive access to an e-book with class materials and the entire code repository.
Masterclass
The applications for this course are currently closed.
A laptop with internet access and R Studio software installed is required for participation (programming knowledge is not necessary).
A 10% reduction on the total tuition fee is available for members of the National Association of Public Health Doctors (ANMSP), the Portuguese Association of Health Economics (APES), and the Portuguese Association for Hospital Development (APDH). Applicants must provide proof of their membership when submitting their application.
Contact us for more information