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.

Vanderbilt University
Skills you'll gain: Generative AI Agents, AI Workflows, AI Orchestration, Agentic systems, LLM Application, Tool Calling, OpenAI, Prompt Engineering, Application Development, Software Documentation, File Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, Social Impact, Information Privacy, Workforce Development, Accountability
Beginner · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: NoSQL, Database Systems, MongoDB, Database Management Systems, Databases, Database Design, Relational Databases, Query Languages, Apache Cassandra, Data Storage Technologies, Scalability, Graph Theory, Unstructured Data, Maintainability
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Generative AI, Data Storytelling, Data Ethics, Artificial Intelligence, Prompt Engineering, SQL, Data Analysis, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Matplotlib, Object Oriented Programming (OOP), Plotly, Seaborn, Data Visualization Software, Object Oriented Design, Data Visualization, Pandas (Python Package), NumPy, Statistical Visualization, Interactive Data Visualization, Software Documentation, Scatter Plots, Box Plots, Heat Maps, Software Engineering, Data Structures, Maintainability, Data Import/Export, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Logistic Regression, SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Model Evaluation
Intermediate · Course · 1 - 3 Months

Knowledge Accelerators
Skills you'll gain: Data Presentation, Pivot Tables And Charts, Data Entry, Data Processing, Data Science, Organizational Skills, Business Analytics, Data Management, Business Intelligence, Microsoft 365, Productivity Software, Record Keeping, Customer Data Management, Productivity, Financial Analysis, Marketing Planning, Project Management, Event Planning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Statistical Inference
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, Data Sharing, UI Components, Application Deployment
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics), Network Architecture
Intermediate · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Deep Learning, Autoencoders, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Performance Tuning
Intermediate · Course · 1 - 3 Months