Data Science for Health Research Specialization

Wrangle, Visualize and Analyze Health Data. Import, process data and fit basic statistical models to analyze health outcome data, all in the R statistical environment
In Data Science for Health Research, learn to organize and visualize health data using statistical analysis in programs like R. Explore how to translate data, interpret statistical models, and predict outcomes to help make data-informed decisions within the public health field.

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Linear Regression Modeling for Health Data (Coursera) Coursera
University of Michigan

Linear Regression Modeling for Health Data (Coursera)

Dive into the fundamentals of statistical modeling and linear regression analysis tailored specifically for health data. This course offers a structured approach to understanding and applying key concepts like t-tests and multiple regression models to analyze continuous outcomes in healthcare scenarios. Perfect for professionals looking to refine their skills in data interpretation and application within the medical field.

Jun 1st 2026
3 Weeks
Logistic Regression and Prediction for Health Data (Coursera) Coursera
University of Michigan

Logistic Regression and Prediction for Health Data (Coursera)

Dive into the world of health data analysis with our 'Logistic Regression and Prediction for Health Data' course. This course is designed to equip you with essential skills in analyzing binary outcomes, performing two-group comparisons, and applying statistical inference and prediction through logistic regression. Learn how to effectively use R to compare proportions, fit logistic regressions, make accurate predictions, and evaluate the quality of these predictions. Whether you're a healthcare professional or data enthusiast, this course will enhance your understanding and capabilities in health data analysis.

Jun 1st 2026
3 Weeks
Arranging and Visualizing Data in R (Cuorsera) Coursera
University of Michigan

Arranging and Visualizing Data in R (Cuorsera)

Discover the power of R statistical software with our beginner-friendly course. From installation to visualization, learn essential skills for arranging and interpreting your data effectively. Perfect for novices and professionals alike who want to harness the potential of R in their data analysis projects.

Jun 1st 2026
4 Weeks
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