Healthcare data analytics courses can help you learn statistical analysis, data visualization, predictive modeling, and patient outcome measurement. You can build skills in interpreting complex datasets, identifying trends in healthcare delivery, and making data-driven decisions to improve patient care. Many courses introduce tools like R, Python, and Tableau, that support analyzing healthcare data and creating impactful visual reports that inform stakeholders about trends and outcomes.

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Data-Driven Decision-Making
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Performance Testing, AI Workflows, Prompt Engineering, Data-Driven Decision-Making, Generative AI, Data Validation, Model Evaluation, Verification And Validation, A/B Testing, MLOps (Machine Learning Operations), Embeddings
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: NumPy, Matplotlib, Statistical Methods, Data Visualization, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Applied Mathematics, Statistical Analysis, Exploratory Data Analysis, Data Science, Probability, Regression Analysis, Linear Algebra, Data Manipulation, Calculus
Beginner · Course · 1 - 4 Weeks
SAS
Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Validation, Statistical Analysis, Statistical Programming, Data Processing, Data Preprocessing, Data Integration, Data Cleansing, SQL, Descriptive Statistics, Computer Programming, Data Presentation, Debugging
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Data Analysis Expressions (DAX), Statistical Reporting, Business Intelligence, Business Reporting, Data Pipelines, Generative AI, Cost Benefit Analysis, Performance Analysis, Model Evaluation, Key Performance Indicators (KPIs), Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Model Deployment, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Google Sheets, Machine Learning Software, Cloud Deployment, Model Evaluation, Predictive Modeling, Machine Learning, Data Science
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Business Intelligence, Tableau Software, Interactive Data Visualization, Business Reporting, Data Storytelling, Data Presentation, Data Visualization Software, Data Visualization, Stakeholder Communications, Performance Tuning, Interviewing Skills
Advanced · Course · 1 - 3 Months

Skills you'll gain: Team Performance Management, Generative AI, Kanban Principles, Analytics, AI Security, Big Data, Investment Management, Coaching, Trend Analysis, Scalability, Emotional Intelligence, Technology Strategies, Business, Business Ethics, Customer experience improvement, Responsible AI, Continuous Improvement Process, Complex Problem Solving, Research, Estimation
Beginner · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Image Quality, Data Preprocessing, Data Quality, Generative AI, Data Validation, Data Collection, Data Transformation, PyTorch (Machine Learning Library), Data Ethics, Data Management, Metadata Management
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science
Beginner · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Performance Analysis, Brand Awareness, AI Enablement, Storytelling, Content Development and Management, Multimedia, Prompt Engineering, Data Storytelling, Creativity, Search Engine Optimization, Emerging Technologies, Visionary, Professional Networking
Beginner · Course · 1 - 3 Months