Analyze Healthcare Data with Confidence

This course is part of Basics of Healthcare Data Analytics: Boost Patient Outcomes Specialization

Instructor: Hurix Digital

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3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Confidence intervals quantify uncertainty in population estimates, providing essential context for healthcare decision-making.
Understanding Type I/II errors helps interpret statistical results responsibly, avoiding false alarms and missed opportunities.
Chi-square testing enables evidence-based assessment of categorical variable relationships in healthcare inquiries.
Rigorous statistical methodology forms the foundation for reliable healthcare analytics impacting patient care and outcomes.

Skills you'll gain

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This course is part of the Basics of Healthcare Data Analytics: Boost Patient Outcomes Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
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There are 3 modules in this course

Healthcare professionals make critical decisions every day that impact patient outcomes—but how confident can you be in your data-driven conclusions without proper statistical foundation?

This Short Course was created to help healthcare data analysts accomplish reliable statistical analysis that directly supports patient care improvements. By completing this course, you'll be able to calculate meaningful confidence intervals for population estimates, identify and explain the two critical types of statistical errors that can impact healthcare decisions, and analyze relationships between categorical variables using proven statistical methods. By the end of this course, you will be able to: - Apply standard statistical functions to compute confidence intervals for a mean - Explain the difference between Type I and Type II errors in hypothesis testing - Analyze the relationship between categorical variables using a Chi-square test This course is unique because it bridges statistical theory with practical healthcare applications, giving you the confidence to make evidence-based recommendations that improve patient outcomes. To be successful in this project, you should have basic familiarity with healthcare data and elementary mathematical concepts.

Learners will master the calculation and interpretation of confidence intervals for population means using healthcare survey data to support evidence-based decision making.

What's included

2 videos1 reading2 assignments

2 videos Total 15 minutes

Calculating Confidence Intervals Using Statistical Functions 6 minutes
Building Confidence Intervals in Excel for Patient Survey Data 8 minutes

1 reading Total 7 minutes

Statistical Foundations for Healthcare Confidence Intervals 7 minutes

2 assignments Total 18 minutes

Calculate Confidence Intervals for Hospital Quality Metrics 15 minutes
Confidence Intervals Knowledge Check 3 minutes

Learners will distinguish between Type I and Type II errors in healthcare hypothesis testing scenarios and explain their implications for clinical decision-making and patient safety.

What's included

3 videos1 reading1 assignment

3 videos Total 20 minutes

Why Statistical Errors Matter in Healthcare Decisions 4 minutes
Type I and Type II Errors in Healthcare Hypothesis Testing 6 minutes
Type I and Type II Errors in Healthcare Research 11 minutes

1 reading Total 11 minutes

Statistical Power and Error Prevention in Healthcare Research 11 minutes

1 assignment Total 3 minutes

Statistical Errors in Healthcare Knowledge Check 3 minutes

Learners will apply Chi-square tests to analyze relationships between categorical healthcare variables and interpret results for evidence-based clinical decision making.

What's included

3 videos1 reading2 assignments1 ungraded lab

3 videos Total 24 minutes

Why Chi-Square Analysis Matters for Healthcare Decisions 3 minutes
Understanding Chi-Square Tests for Healthcare Categorical Data 7 minutes
Conducting Chi-Square Analysis in Excel for Patient Satisfaction Data 14 minutes

1 reading Total 11 minutes

Advanced Chi-Square Applications in Healthcare Quality Analysis 11 minutes

2 assignments Total 18 minutes

Healthcare Statistical Analysis Comprehensive Assessment 15 minutes
Chi-Square Analysis Knowledge Check 3 minutes

1 ungraded lab Total 20 minutes

Healthcare Categorical Data Analysis with Chi-Square Testing Lab 20 minutes

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Instructor

Hurix Digital

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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