Medical statistics courses can help you learn data analysis techniques, study design principles, hypothesis testing, and the interpretation of clinical trial results. You can build skills in analyzing patient data, understanding epidemiological methods, and applying statistical software for real-world health problems. Many courses introduce tools like R, SAS, or SPSS, that support performing statistical analyses and visualizing health data effectively.

Skills you'll gain: ASP.NET, Middleware, .NET Framework, Restful API, Application Programming Interface (API), C# (Programming Language), API Design, Databases, Performance Tuning, Data Persistence, Web Development, Microservices, Scalability, Development Environment, Web Applications, Unit Testing, Data Validation, Web Analytics, Application Security
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Data Preprocessing, Data Analysis, Artificial Intelligence, Predictive Modeling, Data Science, Data Manipulation, Jupyter, Feature Engineering, Machine Learning, Data Visualization, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Public Health, Social Determinants Of Health, Health Equity, Health Information Management and Medical Records, Demography, Health Policy, Maternal Health, Chronic Diseases, Medical Coding, Data Quality, Data Collection, Governance
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Patient Communication, Medical Office Procedures, Business Correspondence, Internal Communications, Business Writing, Strategic Communication, Writing, Patient Safety, Business Communication, Communication, Professionalism, Organizational Skills, Prioritization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Data Preprocessing, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Data Transformation, Data Manipulation, Model Evaluation, Exploratory Data Analysis, Classification Algorithms, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Web Analytics, Web Analytics and SEO, Marketing Analytics, Analytics, Technical Documentation, Technical Communication, Performance Metric, Data Analysis, Data-Driven Decision-Making, Team Oriented, Data Presentation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Content Management Systems, Web Analytics, Search Engine Optimization, Web Design, Retail Management, Order Management, E-Commerce, Marketing Strategies, Blogs, Customer Relationship Management (CRM) Software, Content Creation, Dashboard, Email Marketing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Big Data, Serverless Computing, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Data Manipulation, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics
Intermediate · Course · 1 - 4 Weeks