Master statistical analysis for healthcare with R programming to identify and interpret linear data relationships.
Master statistical analysis for healthcare with R programming to identify and interpret linear data relationships.
In this comprehensive course, you'll build practical skills in analyzing healthcare data through linear statistical methods. You'll develop a working knowledge of correlation, ordinary least squares (OLS) regression, and diagnostic testing while using R statistical programming for hands-on application. The curriculum balances practical implementation with theoretical foundations, covering both univariate and multivariate statistical approaches essential for healthcare data analysis. Through written content, video lessons, guided activities, and assessments, you'll learn to implement regression models, perform diagnostic tests, utilize dummy variables, and effectively communicate analytical results in simple language.
English
English
What you'll learn
Implement simple and multiple linear regression models and interpret their results
Perform diagnostic tests for linear regression models to determine their validity
Use dummy variables in regressions and interpret their results
Communicate the results of analysis to others in simple language
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
This course provides a comprehensive foundation in linear relationship data analysis for healthcare professionals. Students will learn to apply statistical methods using R programming to analyze healthcare data effectively. The curriculum covers correlation and linear relationships, OLS regression techniques, dummy variables, multivariate regression, and diagnostic testing for model validation. Through practical exercises and assessments, participants will develop skills to implement regression models, interpret results, and communicate findings in accessible language. The course emphasizes both practical application and theoretical understanding, ensuring students can apply these analytical tools to real-world healthcare scenarios.
Introduction to Correlation and Linear Relationships
Module 1
Simple OLS Linear Regression
Module 2
Dummy Variables and Multiple OLS Linear Regression
Module 3
OLS Linear Regression Diagnostic Tests
Module 4
Fee Structure
Payment options
Financial Aid
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