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.
Rice University
Skills you'll gain: Business Analytics, Statistical Methods, Statistical Analysis, Data Analysis, Data Presentation, Statistical Reporting, Analytical Skills, Technical Communication, Predictive Analytics, Exploratory Data Analysis, Regression Analysis, Microsoft Excel
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, AI Security, Gemini, AI Enablement, Google Workspace, Productivity Software, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Model Evaluation, AI Workflows, Workplace inclusivity, Social Impact, Operational Efficiency, Human Factors, Critical Thinking, Analysis, Data Security, Natural Language Processing
Beginner · Specialization · 3 - 6 Months

University of Colorado System
Skills you'll gain: Business Intelligence, Decision Support Systems, Data Visualization, Business Process Management, Data Warehousing, Performance Measurement, MicroStrategy, Business Analytics, Dashboard, Data Visualization Software, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Business Reporting, Data Analysis, Six Sigma Methodology
Mixed · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Regression Analysis, Unsupervised Learning
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Responsible AI, Data Ethics, Generative Adversarial Networks (GANs), Agentic systems, AI Security, Discussion Facilitation, Business Ethics, Embeddings, Regulatory Compliance, Case Studies, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, SAS (Software), AI Workflows, Analytics, Machine Learning
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Computer Science, Statistical Analysis, Computational Thinking, Biostatistics, Statistics, Software Engineering, Algorithms, Biology
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Apache Hadoop, Big Data, Application Deployment, Social Network Analysis, Data Processing, Distributed Computing, Java, Text Mining, Graph Theory, File Systems
Mixed · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Prompt Engineering, Excel Formulas, Microsoft Copilot, Microsoft Excel, Data Visualization, Data Analysis, Data Entry, Data Presentation, Spreadsheet Software, Data Manipulation, User Interface (UI)
Beginner · Course · 1 - 3 Months

Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: SAS (Software), Data Import/Export, Data Access, Data Manipulation, Statistical Programming, Data Cleansing, Exploratory Data Analysis, Data Preprocessing, Data Analysis, Data Transformation, SQL, Microsoft Excel, Descriptive Statistics
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Embeddings, Supervised Learning, Keras (Neural Network Library), Machine Learning, Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Statistical Hypothesis Testing, AI Workflows, LangChain, Generative AI Agents, CrewAI, Statistical Methods, Statistical Analysis, Data Transformation, Agentic systems, Statistical Inference, Business Intelligence, Performance Testing, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Performance Metric, Descriptive Analytics, Business Metrics, Data Analysis, Correlation Analysis, Event Monitoring
Intermediate · Course · 1 - 4 Weeks