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: Probability & Statistics, Microsoft Excel, Descriptive Statistics, Box Plots, Statistical Methods, Probability Distribution, Statistical Visualization, Data Visualization, Probability, Statistics, Excel Formulas, Plot (Graphics), Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Mathematical Theory & Analysis, Algebra, Bayesian Statistics, Arithmetic, Case Studies
Beginner · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Statistical Machine Learning, Data Preprocessing, Data Storage, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Model Evaluation, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks
Rice University
Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Statistical Methods, Microsoft Excel, Statistical Modeling, Data Analysis, Excel Formulas, Statistical Analysis, Descriptive Analytics, Box Plots, Sampling (Statistics), Statistical Inference, Correlation Analysis, Decision Making, Variance Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Lakes, Data Transformation, Data Quality, Data Infrastructure, Data Governance, Data Pipelines, Real Time Data, Data Management, Terraform, Data Maintenance, Data Validation, Apache Spark, Data Integrity, Data Storage, Cloud Computing, Scalability, Data Security, Databricks
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Entry, Excel Formulas, Microsoft Excel, Data Management, Spreadsheet Software, Microsoft Office, Data Presentation, Productivity Software
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Spreadsheet Software, Business Reporting, Management Reporting, Data Analysis, Data Visualization, Interactive Data Visualization, Data Management, Analysis, Information Management, Debugging, File Management, Business, Business Management, Design, File I/O
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Algorithms, Graph Theory, Data Structures, Computer Programming, C++ (Programming Language), Object Oriented Programming (OOP)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS Kinesis, Real Time Data, Apache Spark, Apache Hive, Data Pipelines, Apache Hadoop, Data Processing, Extract, Transform, Load, Amazon Web Services, Serverless Computing, Data Lakes, Data Visualization, Interactive Data Visualization, Query Languages, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Power BI, Data Transformation, Data Lakes, Data Warehousing, Real Time Data, Extract, Transform, Load, Data Architecture, Data-Driven Decision-Making, Dashboard, Data Pipelines, Dashboard Creation, Data Modeling, Business Reporting, Data Presentation, Transact-SQL, Business Intelligence, Data Analysis, Microsoft 365, Python Programming, Machine Learning
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java Programming, Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Memory Management, Benchmarking, Graph Theory, Program Implementation
Advanced · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Quality, Quantitative Research, Data Management, Quality Assurance, Data Cleansing, Quality Improvement, Continuous Quality Improvement (CQI), Quality Assessment, Data Validation, Data Pipelines, Key Performance Indicators (KPIs), SQL, Data Processing, Extract, Transform, Load, Performance Analysis, Continuous Monitoring, Automation, Trend Analysis
Advanced · Course · 1 - 4 Weeks