Associate Professor, Biostatistics
3 Learning Experiences
Data Science for Health Research
What You'll Learn
- Learn to organize and visualize health data using statistical analysis in programs like R
3-Course Series
43 hours
15 hours per course (approx.)
Shareable Certificate
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About Data Science for Health Research
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.
Skills You'll Gain
- RStudio
- Statistical Analysis
- Probability Distribution
- Data Presentation
- Logistic Regression
- Linear Regression
- Statistical Graphics
- Data Wrangling
- Statistical Programming
- Data Visualization
- Data Analysis
What You'll Earn
- Certificate of Completion
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Professor of Epidemiology
3 Learning Experiences
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
There are no formal requirements to take this specialization. Course 1 is primarily for those who have no previous experience working with R.
3 Courses in this series
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Free U-M Access CourseArranging and Visualizing Data in R
Learn to organize, summarize, and visualize data in R using tools like RStudio, ggplot, and data transformation techniques.
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Free U-M Access CourseLinear Regression Modeling for Health Data
Get started with linear regression and learn how to analyze health data using statistical models, coding practice, and guided exercises.
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Free U-M Access CourseLogistic Regression and Prediction for Health Data
Explore binary outcomes and build logistic regression models using R to analyze and predict health data with guided coding practice.
What Learners Are Saying
We have to start wherever we are, use whatever we have, and do whatever we can to aid stakeholders, citizens, and policymakers with data-driven decision-making.
Bhramar Mukherjee, PhD John D. Kalbfleisch Distinguished University Professor, John D. Kalbfleisch Collegiate Professor of Biostatistics, Chair, Biostatistics, Professor, Epidemiology
