Introduction to Healthcare Data Analysis

edX MOOC / Non-credit USD 309

Enroll now →

Introduction to Healthcare Data Analysis

About this course

In this course, you will develop a solid foundational understanding of the most common statistical methods used in health care data analysis. These common statistical methods include descriptive statistics, data distributions, sampling distribution, hypothesis tests, visualizing and summarizing data, independent and paired sample t-tests, and ANOVA.

What you'll learn

Understand descriptive statistics and data distributions
Gain proficiency in sampling distribution and hypothesis tests
Learn to visualize and summarize health data
Utilize independent and paired sample t-tests and ANOVA

Skills you'll gain

data visualization hypothesis testing descriptive statistics data analysis statistics healthcare analytics healthcare data anova t-tests sampling distribution

Related courses

Data Science Foundations

Data Analytics in the Public Sector with R

Data Science as a Field

Statistical Methods and Data Analysis

Geographic Information Systems (GIS)

Programming for Python Data Science: Principles to Practice

Data Visualization & Analytics in Tableau

Enhancing Reproducible Science with GitHub and Docker

Course details are provided by the platform and may change — always confirm on the provider's site. Links may be affiliate links.