University_of_TorontoX: Death 101: Shaping the Future of Global Health
To help the living, study the dead: we will analyze the world’s biggest health problems by investigating causes of death.
Learning Journey Context
This course serves as an entry point into Biology & Life Sciences, building foundational knowledge before moving on to advanced frameworks or specialized paths.
Relevant for: Data Scientist, Data Analyst, Machine Learning Engineer.
Quick Facts
What You’ll Learn
This global health and life sciences course enables learners to investigate health problems affecting large populations – the whole world in fact! By understanding the big numbers in global mortality and their causes and distributions you will learn how to think numerically about global health. We will use real data from real people to ask the questions: What are the major causes of death in the world? Why do we need cause of death statistics? How does counting the dead help the living?
We begin with a historical perspective on global mortality and end with a hopeful look toward future trends. In between, you will learn about how death prior to old age can be avoided, worldwide mortality rates, and specific diseases such as HIV, malaria, childhood conditions, chronic diseases, and risk factors such as smoking. This course will help you use population statistics to understand how rapid gains in health are possible.
Outcomes
- What major factors drive changes in health.
- Major causes of death globally and non-communicable diseases.
- Important risk factors for disease and death.
- Why cause of death statistics are important for global health.
- How we measure causes of death.
- What will causes of death look like in 2030, and what can we do to reduce premature death.
FAQs
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