Introduction to Week 2: Correlation And Dependence
Introduction to Week 2: Correlation And Dependence is among the Best Online Correlation And Dependence Courses. Linear Regression in R for Public Health is now available! "The art and science of avoiding disease, extending life, and promoting health through the coordinated efforts of society," according to the definition of public health. Knowing what causes sickness and what makes it worse is obviously crucial. This necessitates the creation of statistical models that explain how patient and environmental variables influence their likelihood of being unwell.
This course will teach you how to build such models from the ground up, starting with an introduction to correlation and linear regression, then leading you through importing and analyzing data, and finally teaching you how to fit models. These models will show how patient and other variables impact outcomes such as lung function, using the example of respiratory illness.
The remaining courses in this series will cover two more members of the regression family, including linear regression. Regression models have a lot in common, even if the mathematical specifics are different. This course will teach you how to prepare data, evaluate the model's fit to the data, and verify the model's underlying assumptions - all of which are critical activities in any sort of regression.
This course offers:
- Flexible deadlines: Reset deadlines in accordance to your schedule.
- Certificate: Earn a Certificate upon completion
- 100% online
- Beginner Level
- Approx. 15 hours to complete
- Subtitles: English
Course Rating: 4.8/5
Enroll here: https://www.coursera.org/lecture/linear-regression-r-public-health/introduction-to-week-2-o2YAs
