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.

DeepLearning.AI
Skills you'll gain: AI Product Strategy, Artificial Intelligence, Artificial Neural Networks, Digital Transformation, Deep Learning, Technical Management, Machine Learning, Responsible AI, Data Ethics, Data Science
Beginner · Course · 1 - 3 Months

Skills you'll gain: Team Building, Team Management, Stakeholder Analysis, Internal Communications
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Minitab, Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Statistical Process Controls, Data-Driven Decision-Making, Process Improvement, Waste Minimization, Project Management, Continuous Improvement Process, Brainstorming, Process Mapping, Quality Assessment, Customer Insights, Sampling (Statistics), Data Collection
Beginner · Course · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Prompt Engineering, Data Ethics, ChatGPT, Responsible AI, AI Personalization, Student Engagement, Generative AI Agents, Generative AI, Ethical Standards And Conduct, Education Software and Technology, Artificial Intelligence, Digital pedagogy, Teaching, Instructional Strategies
Beginner · Course · 1 - 4 Weeks
LearnQuest
Skills you'll gain: Oracle SQL Developer, SQL, Oracle Databases, PL/SQL, Database Design, Database Theory, Database Management Systems, Relational Databases, Database Management, Databases, Database Architecture and Administration, Data Storage, Transaction Processing, Stored Procedure, Data Management, Query Languages, Network Architecture, Diagram Design, Command-Line Interface, Data Modeling
Beginner · Specialization · 3 - 6 Months

University of London
Skills you'll gain: Pseudocode, C++ (Programming Language), Object Oriented Programming (OOP), C and C++, File I/O, Object Oriented Design, Integrated Development Environments, Computer Programming, Development Environment, Programming Principles, Debugging, Data Structures, Program Development, Algorithms, Interactive Design, Model Evaluation, Software Engineering, Test Data, Data Validation, Command-Line Interface
Build toward a degree
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Improvement, Lean Methodologies, Kaizen Methodology, Process Capability, Six Sigma Methodology, Risk Analysis, Quality Improvement, Process Analysis, Statistical Analysis, Statistical Methods, Risk Management, Business Process, Sample Size Determination, Data Collection
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Process Capability, Statistical Process Controls, R (Software), Statistical Analysis, Data Analysis Software, R Programming, Quality Control, Quality Improvement, Statistical Methods, Process Analysis, Data Transformation, Statistical Hypothesis Testing, Statistical Visualization, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Generative Model Architectures, Generative AI, Data Ethics, Model Evaluation, Responsible AI, Prompt Engineering, Information Privacy, Natural Language Processing
Beginner · Course · 1 - 3 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Statistical Inference, Sampling (Statistics), Model Evaluation, Probability Distribution
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics
Beginner · Course · 1 - 4 Weeks