Datos para Avanzar en la Salud Poblacional
En este curso, aprenderá sobre las metodologías que respaldan el uso exitoso de los datos
para fortalecer los programas y las políticas de salud pública. Expertos de todo el mundo
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En este curso, aprenderá sobre las metodologías que respaldan el uso exitoso de los datos
para fortalecer los programas y las políticas de salud pública. Expertos de todo el mundo
En este curso, aprenderá sobre las metodologías que respaldan el uso exitoso de los datos
para fortalecer los programas y las políticas de salud pública. Expertos de todo el mundo
definirán y explicarán qué son los datos a nivel de población, presentarán el ciclo de
generación y uso de datos, y explicarán otras consideraciones para el uso exitoso de los
datos para la salud de la población. También aprenderá cómo se pueden utilizar los datos
de los servicios de salud para fundamentar la toma de decisiones a nivel de la población y la
aplicación de una perspectiva de género y equidad hacia estos sistemas de datos para
garantizar que respondan a las necesidades de las poblaciones. Nuestro objetivo general
para este curso es apoyar y mejorar el uso de los datos para fundamentar las políticas.
El curso es el resultado de una colaboración entre múltiples socios, que incluyen Vital
Strategies, la Fundación de los Centros para el Control y la Prevención de Enfermedades
(CDC), la Escuela de Salud Pública Bloomberg de Johns Hopkins y la Organización Mundial
de la Salud. Este curso fue financiado por Bloomberg Philanthropies, con cofinanciación del
gobierno australiano y la Fundación Bill y Melinda Gates.
What's inside
Syllabus
Uso de datos para mejorar la salud
Generación de capacidad para el uso de datos
Cómo lograr un impacto con los datos
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Syllabus
Good to know
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Activities
Revise concepts of the health system
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Review foundational knowledge of health systems to strengthen your understanding of data usage in this field.
Browse courses on
Health Systems
Show steps
-
Review notes or textbooks on health systems
-
Complete practice questions or exercises on health system concepts
-
Attend a seminar or workshop on health systems
Explore online resources on data analysis for health
Show steps
Enhance your data analysis skills by exploring online tutorials and resources tailored to the healthcare domain.
Browse courses on
Data Analysis
Show steps
-
Search for online tutorials on health data analysis
-
Select reputable sources and follow step-by-step instructions
-
Practice data analysis techniques and apply them to health-related datasets
Curate a collection of relevant resources
Show steps
Organize and compile a collection of resources such as articles, websites, and datasets to support your learning throughout the course.
Show steps
-
Identify and gather resources related to course topics
-
Organize resources into a cohesive collection using tools like online platforms or spreadsheets
-
Share your collection with peers or instructors for feedback and additional resources
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Show all eight activities
Participate in a peer learning group
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Collaborate with peers to discuss course concepts, share insights, and support each other's learning.
Show steps
-
Join or form a study group with other course participants
-
Meet regularly to discuss course materials, assignments, and projects
-
Share knowledge, perspectives, and resources with group members
Analyze real-world health data
Show steps
Gain practical experience in analyzing health data to enhance your comprehension of data usage.
Browse courses on
Data Analysis
Show steps
-
Access publicly available health datasets
-
Choose appropriate data analysis tools and techniques
-
Conduct data analysis and interpret results
-
Present your findings in a clear and concise manner
Participate in a data science or health-related hackathon
Show steps
Challenge yourself and apply your skills by participating in a hackathon focused on data science or health-related issues.
Show steps
-
Identify and register for relevant hackathons
-
Form a team or work individually to develop innovative solutions
-
Present your solution to a panel of judges and receive feedback
Develop a data-driven health policy proposal
Show steps
Demonstrate your understanding by creating a data-driven health policy proposal that addresses a real-world health issue.
Browse courses on
Health Policy
Show steps
-
Identify a health issue and conduct a needs assessment
-
Gather and analyze relevant data to support your proposal
-
Develop a policy proposal that includes specific recommendations
-
Present your proposal to stakeholders for feedback and discussion
Develop a data visualization tool for health data
Show steps
Apply your knowledge by creating a data visualization tool that can effectively communicate health data and insights.
Browse courses on
Data Visualization
Show steps
-
Identify a specific health-related dataset or problem to address
-
Design and develop a data visualization tool using appropriate software or libraries
-
Test and refine your visualization to ensure clarity and effectiveness
-
Present your tool to stakeholders and gather feedback for further improvement
Revise concepts of the health system
Show steps
Review foundational knowledge of health systems to strengthen your understanding of data usage in this field.
Browse courses on
Health Systems
Show steps
- Review notes or textbooks on health systems
- Complete practice questions or exercises on health system concepts
- Attend a seminar or workshop on health systems
Explore online resources on data analysis for health
Show steps
Enhance your data analysis skills by exploring online tutorials and resources tailored to the healthcare domain.
Browse courses on
Data Analysis
Show steps
- Search for online tutorials on health data analysis
- Select reputable sources and follow step-by-step instructions
- Practice data analysis techniques and apply them to health-related datasets
Curate a collection of relevant resources
Show steps
Organize and compile a collection of resources such as articles, websites, and datasets to support your learning throughout the course.
Show steps
- Identify and gather resources related to course topics
- Organize resources into a cohesive collection using tools like online platforms or spreadsheets
- Share your collection with peers or instructors for feedback and additional resources
Participate in a peer learning group
Show steps
Collaborate with peers to discuss course concepts, share insights, and support each other's learning.
Show steps
- Join or form a study group with other course participants
- Meet regularly to discuss course materials, assignments, and projects
- Share knowledge, perspectives, and resources with group members
Analyze real-world health data
Show steps
Gain practical experience in analyzing health data to enhance your comprehension of data usage.
Browse courses on
Data Analysis
Show steps
- Access publicly available health datasets
- Choose appropriate data analysis tools and techniques
- Conduct data analysis and interpret results
- Present your findings in a clear and concise manner
Participate in a data science or health-related hackathon
Show steps
Challenge yourself and apply your skills by participating in a hackathon focused on data science or health-related issues.
Show steps
- Identify and register for relevant hackathons
- Form a team or work individually to develop innovative solutions
- Present your solution to a panel of judges and receive feedback
Develop a data-driven health policy proposal
Show steps
Demonstrate your understanding by creating a data-driven health policy proposal that addresses a real-world health issue.
Browse courses on
Health Policy
Show steps
- Identify a health issue and conduct a needs assessment
- Gather and analyze relevant data to support your proposal
- Develop a policy proposal that includes specific recommendations
- Present your proposal to stakeholders for feedback and discussion
Develop a data visualization tool for health data
Show steps
Apply your knowledge by creating a data visualization tool that can effectively communicate health data and insights.
Browse courses on
Data Visualization
Show steps
- Identify a specific health-related dataset or problem to address
- Design and develop a data visualization tool using appropriate software or libraries
- Test and refine your visualization to ensure clarity and effectiveness
- Present your tool to stakeholders and gather feedback for further improvement
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