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Social Determinants of Health: Planetary Health

Explore how human health depends on Earth's natural systems through data analysis and planetary health frameworks.

Explore how human health depends on Earth's natural systems through data analysis and planetary health frameworks.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Social Determinants of Health: Data to Action Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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Social Determinants of Health: Planetary Health

This course includes

17 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Understand planetary health concepts and frameworks

  • Analyze environmental determinants of health

  • Apply data analysis to health outcomes

  • Develop movement building strategies

  • Use foresight principles in health initiatives

  • Create data visualizations for health analysis

Skills you'll gain

Planetary Health
Health Informatics
Data Analysis
Environmental Health
Health Equity
Data Visualization
Movement Building
Futures Thinking
Regression Analysis

This course includes:

2.3 Hours PreRecorded video

8 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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There are 5 modules in this course

This comprehensive course explores the relationship between human health and Earth's natural systems through a planetary health framework. Students learn about environmental determinants of health, planetary boundaries, and evidence-based solutions. The curriculum includes data analysis techniques, movement building strategies, and futures thinking approaches, culminating in practical applications using regression analysis and data visualization.

Health Literacy

Module 1 · 5 Hours to complete

Mental Health & Substance Abuse

Module 2 · 5 Hours to complete

Violence, Conflict and Trauma

Module 3 · 4 Hours to complete

Health Systems and Data

Module 4 · 3 Hours to complete

Data Applications: Correlation Analysis and Heat Map Visualization

Module 5 · 3 Hours to complete

Fee Structure

Instructors

Daniel J. Pesut, Ph.D., RN, FAAN
Daniel J. Pesut, Ph.D., RN, FAAN

4.9 rating

8 Reviews

6,493 Students

7 Courses

Nursing Leadership Expert and Clinical Reasoning Pioneer

Dr. Daniel J. Pesut serves as Emeritus Professor and Past Director of the Katharine J. Densford International Center for Nursing Leadership at the University of Minnesota School of Nursing. His academic credentials include a Ph.D. in Nursing from the University of Michigan, an MS in psychiatric mental health nursing from the University of Texas Health Science Center, and a BS in nursing from Northern Illinois University. His pioneering work includes the development of the Outcome-Present State-Test (OPT) model of reflective clinical reasoning, which has transformed nursing education. Through his Coursera courses in Social Determinants of Health and Nursing Informatics Leadership, he helps healthcare professionals understand complex healthcare systems and leadership principles. As the Emeritus Katherine R. and C. Walton Lillehei Nursing Leadership Chair, he has influenced nursing education through creative teaching strategies and innovative solutions. His contributions have earned numerous accolades, including the Army Commendation Award, the Edith Moore Copeland Founder's Award for Creativity, and the Luther Christman Award. The Daniel J. Pesut Spirit of Renewal Award, established in 2005, honors his lasting impact on the nursing profession

Karen A. Monsen, PhD, RN, FAMIA, FNAP, FAAN
Karen A. Monsen, PhD, RN, FAMIA, FNAP, FAAN

4.6 rating

35 Reviews

46,190 Students

9 Courses

Professor

Dr. Karen A. Monsen is a Professor Emeritus in the School of Nursing at the University of Minnesota and a prominent figure in the field of nursing informatics. With a career spanning over two decades, she has been a pioneer in integrating health information technology to enhance practice quality and population health outcomes. Dr. Monsen's journey began as a nurse manager when she implemented a computerized documentation system in a public health department in 1999, which sparked her interest in data-driven healthcare improvement. Since 2007, she has focused on informatics research using large datasets to develop methodologies that link nursing interventions to client outcomes. Her contributions have earned her numerous accolades, including the Dobzhansky Award for lifetime achievements in behavioral genetics and recognition as a Fellow of the American Academy of Nursing.In addition to her research, Dr. Monsen teaches several courses aimed at advancing nursing informatics, including Interprofessional Healthcare Informatics, Leadership in Interprofessional Informatics, and Nursing Informatics Training and Education. She leads the Omaha System Partnership for Knowledge Discovery and Health Care Quality, collaborating with international affiliates to promote evidence-based practices in nursing. Dr. Monsen's work emphasizes the importance of giving healthcare professionals a data-based voice to advocate for improved care outcomes. Through her innovative teaching and research initiatives, she continues to transform nursing education and practice, ensuring that nurses are equipped to leverage informatics for better patient care

Social Determinants of Health: Planetary Health

This course includes

17 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.