Healthcare Data Analysis Courses and Certifications

Statistical Analysis and Data Modeling in Healthcare

Analyze healthcare datasets in Python and Google Colab: compute descriptive statistics, run t-tests and ANOVA, build linear, logistic, and tree-based predictive models, and validate results.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

MGH Institute of Health Professions

Introduction to Healthcare Data Analysis

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 stati

• edX
• 5 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

MGH Institute of Health Professions

Advanced Topics in Healthcare Data Analysis

In this course, you will learn about some of the complex data analysis tools and techniques that you will need to derive actionable insights from healthcare data, as well as continue learning R statis

• edX
• 6 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Career Certificate

AI for Healthcare

136 ratings at Udacity

Apply AI to medical imaging, electronic health records, and wearable data to build clinically relevant models and integrate them into healthcare workflows.

• Udacity
• 91 hours
• Self-Paced
• Paid Course

Machine Learning for Healthcare

6 ratings

This course introduces students to machine learning in healthcare, including the nature of clinical data, disease progression modeling, precision medicine, diagnosis, subtype discovery, and improving clinical workflows.

• MIT OpenCourseWare
• 31 hours
• Self-Paced
• Free Video

AI in Healthcare Capstone

329 ratings at Coursera

Follow one patient's respiratory-symptom journey through a de-identified EHR and imaging dataset: build, evaluate, and deploy risk-stratification models while weighing regulatory and ethical issues.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Data Science in Stratified Healthcare and Precision Medicine

342 ratings at Coursera

Work hands-on with biomedical data: sequence processing, medical image analysis, probabilistic and network modelling, NLP of clinical notes, process modelling, and graph data linkage.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Career Certificate

Health Information Literacy for Data Analytics

321 ratings at Coursera

Turn raw healthcare data into actionable information: compare administrative, clinical, claims and patient-reported sources, build data models, and address data quality and governance.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Health Data Science Foundation

30 ratings at Coursera

Apply deep learning to medicine: explore health data standards, machine learning basics, and deep neural networks through labs and a healthcare modeling project.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Healthcare Data Models

58 ratings at Coursera

Follow healthcare data along the Path to Value: compare star schema, hierarchical and relational models, normalize and integrate data across systems, and validate it for quality.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Analytical Solutions to Common Healthcare Problems

36 ratings at Coursera

Build data structures for common healthcare problems: apply groupers to map medical codes, run ETL to harmonize multi-source data, and document sources in a data dictionary.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Health Data 101

3465 ratings at Udemy

Intro to Health Data, sources, features, issues: insurance claims, EHR, diagnosis, procedure, drug codes

• Udemy
• 1 hour 9 minutes
• Self-Paced
• Paid Course

The data to decision path for infusion of AI in healthcare

Examine how AI turns healthcare data into decisions: the DIAD pipeline, analytics, machine learning algorithms, data governance, and workflow integration across clinical and administrative functions.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Foundations of mining non-structured medical data

26 ratings at Coursera

Explore how unstructured health data is mined: clinical data types, NLP on medical text, medical image analysis, and the basics of analytics on structured information.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Business Application of Machine Learning and Artificial Intelligence in Healthcare

84 ratings at Coursera

Throughout these four modules we will examine the use of decision support, journey mapping, predictive analytics, and embedding Machine Learning and Artificial Intelligence into the healthcare industry.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course