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.

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Data Analysis, Statistical Methods, Model Evaluation, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Cloud Deployment, Unit Testing, Software Development Life Cycle, CI/CD, Object-Relational Mapping, OpenShift, Istio, Kubernetes, Cloud-Native Computing, Node.JS, Cloud Infrastructure, Responsive Web Design, Git (Version Control System), HTML and CSS, Server Side, Front-End Web Development, Cloud Computing, Data Ethics, Data Import/Export, Software Development
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Claude Code, Prompt Patterns, No-Code Development, Generative AI Agents, Engineering Software, AI Enablement, AI Orchestration, AI powered creativity, LLM Application, AI Product Strategy, Anthropic Claude, AI literacy, Agentic Workflows, AI Workflows, Decision Intelligence, Dashboard Creation, Artificial Intelligence, Large Language Modeling
Beginner · Specialization · 3 - 6 Months

Vanderbilt University
Skills you'll gain: Agentic systems, Generative AI Agents, Agentic Workflows, LLM Application, OpenAI API, AI Workflows, Tool Calling, Prompt Engineering, Prompt Patterns, Software Documentation
Beginner · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)
Advanced · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Classification And Regression Tree (CART), Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Statistical Machine Learning, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Biostatistics, Predictive Analytics, Data Preprocessing, Data Cleansing, Statistical Modeling, Risk Analysis, Machine Learning, Statistical Methods, Statistical Analysis, Deep Learning
Intermediate · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Classification Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Probability & Statistics
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Fine-tuning, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Training, Transfer Learning, Generative AI, Large Language Modeling, Natural Language Processing, Hugging Face, Generative Model Architectures, Data Preprocessing, Model Optimization, Data Processing, Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms
Advanced · Course · 1 - 4 Weeks
Skills you'll gain: SQL, SAS (Software), Case Studies, Database Management, Query Languages, Data Access, Database Management Systems, Data Processing, Data Presentation, Perl (Programming Language), Business, Statistical Programming, Data Wrangling, Data Integration, Data Structures, Data Management, Data Manipulation, Data Transformation, Code Reusability, Software Documentation
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months
Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, AI literacy, Large Language Modeling, Natural Language Processing, Model Training, Machine Learning, Model Evaluation, Decision Intelligence, Hugging Face, Machine Learning Methods, Generative AI, LLM Application, Bayesian Network, Human Centered Design, Python Programming
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Cloud Deployment, Feature Engineering, Apache Spark, Model Training, AI Workflows, Machine Learning Software, Data Lakes, CI/CD, Model Evaluation, Applied Machine Learning, Data Store, Machine Learning, Development Environment, Statistical Machine Learning, Data Science, Machine Learning Algorithms, Python Programming
Advanced · Course · 1 - 3 Months