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: Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, A/B Testing, Target Audience, Marketing Strategies, Statistical Inference, Sampling (Statistics), Data Collection, Data Modeling, Statistics, Advertising Campaigns, Campaign Management, Data Presentation, Marketing, Analytics, Performance marketing, Web Analytics
Intermediate · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Development Environment, Software Installation, Scripting, Scripting Languages, Debugging, Program Development, Integrated Development Environments, Data Manipulation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Tableau Software, Data Storytelling, Power BI, Business Analytics, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Deep Learning, Data Analysis
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Structures, File I/O, Network Routing, Computer Networking, Object Oriented Programming (OOP), Python Programming, Network Routers, Algorithms, Computer Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

Illinois Tech
Skills you'll gain: Technical Communication, Data Visualization, Technical Writing, Peer Review, Technical Documentation, Data Ethics, Persuasive Communication, Writing and Editing, Data Science, Media and Communications, Graphic and Visual Design
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Zurich
Skills you'll gain: Extensible Markup Language (XML), Natural Language Processing, Language Interpretation, Translation, and Studies, Multilingualism, Unstructured Data, Document Management, Data Quality, Machine Learning Methods
Beginner · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
Intermediate · Specialization · 3 - 6 Months
Skills you'll gain: Account Management, AI Personalization, Customer Engagement, Generative AI Agents, Customer Communications Management, Customer experience improvement, Personalized Service, Customer Insights, Communication, Scalability, Customer Relationship Management (CRM) Software, Data Ethics, Responsible AI, Predictive Modeling, Business Process Automation, Analytics, Automation
Intermediate · Course · 1 - 4 Weeks