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Linear Relationship Data in Healthcare

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

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Linear Relationship Data in Healthcare

This course includes

4 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

26,597

Audit For Free

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

Healthcare data analysis
Linear regression
R programming
Statistical methods
Correlation analysis
OLS regression
Dummy variables
Diagnostic testing
Data visualization
Healthcare analytics

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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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

Linear Relationship Data in Healthcare

This course includes

4 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

26,597

Audit For Free

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.