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: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning
Beginner · Course · 1 - 4 Weeks

Genentech
Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Drug Development, Data Presentation, R (Software), Pharmaceuticals, Shiny (R Package), Data Visualization, Statistical Reporting, Data Modeling, R Programming, Technical Communication, Data Manipulation, Statistical Programming, Data Import/Export, Data Transformation, Data Science
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
Beginner · Specialization · 3 - 6 Months

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

University of Michigan
Skills you'll gain: Generative AI, Responsible AI, AI Enablement, Data Ethics, AI Product Strategy, AI Security, Social Impact, Governance, Leadership and Management, Model Evaluation, Data Quality
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: OpenAI API, ChatGPT, Prompt Engineering, LLM Application, Large Language Modeling
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Analysis, Classification Algorithms, Data Preprocessing, Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

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: 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

Skills you'll gain: Data Storytelling, Data Cleansing, Rmarkdown, Data Presentation, Data Visualization, Analytical Skills, Tableau Software, Dashboard, Stakeholder Communications, Data Literacy, Data Integrity, Case Studies, Data Analysis, Spreadsheet Software, Data Ethics, Ggplot2, Data Visualization Software, Data-Driven Decision-Making, Data Validation, Database Management
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Microsoft SQL Servers, Relational Databases, Database Architecture and Administration, Data Analysis, Business Analytics
Beginner · Course · 3 - 6 Months