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.
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Data Ethics, Data Preprocessing, Technical Management, Model Evaluation, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Performance Reporting, Predictive Analytics, Fraud detection, Business Leadership, Strategic Leadership, Data Science
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Programming Principles, Computer Programming, Data Manipulation, Python Programming, Scripting Languages, Scripting, Data Structures, Data Science
Beginner · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Experimentation, Business Metrics, Data Storytelling, Return On Investment, Model Evaluation, Dashboard, Performance Measurement, Business Valuation, Key Performance Indicators (KPIs), A/B Testing, Performance Analysis, Analysis, Product Management, Machine Learning, Financial Analysis, Business, Stakeholder Communications, Sample Size Determination, Power Electronics
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Applied Machine Learning, Data Preprocessing, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning, Performance Testing
Intermediate · Course · 1 - 3 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Case Studies, Data Collection, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Agentic Workflows, Agentic systems, Contract Compliance, Organizational Change, Legal Technology, Change Management, Contract Review, AI Enablement, Compliance Reporting, Compliance Management, Workflow Management, Regulation and Legal Compliance, Scalability, Automation, Process Design, Risk Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms, Test Data, Performance Metric
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Supervised Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Machine Learning Algorithms, Decision Tree Learning, Data Analysis, Deep Learning, Logistic Regression, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Model Evaluation, Data Ethics, Unsupervised Learning, Convolutional Neural Networks, Random Forest Algorithm, Data Preprocessing, Data Analysis, Regression Analysis, Responsible AI, Recurrent Neural Networks (RNNs), Classification Algorithms, Decision Tree Learning, Data Collection, AI Workflows, Regulatory Compliance, Business Ethics, Learning Strategies, Test Planning, Goal Setting, Productivity
Intermediate · Professional Certificate · 3 - 6 Months