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: Data Ethics, Responsible AI, AI Security, Regulatory Compliance, Business Ethics, Artificial Intelligence, Information Privacy, Ethical Standards And Conduct, Regulatory Requirements, Emerging Technologies, Data Security, Strategic Leadership, Accountability, Stakeholder Engagement
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: SQL, Database Systems, Database Theory, Database Management, Query Languages, Database Design, Relational Databases, Database Administration, Database Application, Data Access, Data Science, Data Analysis, Data Manipulation, Data Modeling, Data Integrity
Build toward a degree
Beginner · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Model Evaluation, Content Creation
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Context Protocol, AI Security, Scalability, Software Architecture, Servers, Interoperability, System Design and Implementation, API Design, Enterprise Security, Real Time Data, Performance Tuning
Advanced · Course · 1 - 4 Weeks

Universitat Politècnica de València
Skills you'll gain: R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Data Structures, Programming Principles, Data Preprocessing, Data Science, Model Evaluation, Machine Learning, Data Manipulation, Exploratory Data Analysis, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Machine Learning Methods, Generative AI, Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing
Intermediate · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning
Advanced · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Large Language Modeling, Natural Language Processing, Embeddings, AI Personalization, Network Model, Network Architecture, Linear Algebra
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Text Mining, Data Ethics, Data Preprocessing, Artificial Intelligence, Performance Tuning
Intermediate · Specialization · 3 - 6 Months
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
Advanced · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
Intermediate · Specialization · 3 - 6 Months