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: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Seaborn, Python Programming, NumPy, Data Analysis, Programming Principles, Data Cleansing, Exploratory Data Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Visualization Software, Data Modeling, Dashboard, Interactive Data Visualization, Data Presentation, Data Processing, Data Storytelling, Data Transformation, Data Preprocessing, Data Integration, Data Cleansing, Data Import/Export, Data Analysis, Data Quality, Key Performance Indicators (KPIs)
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Clinical Documentation, Generative AI Agents, Healthcare Ethics, Responsible AI, Clinical Informatics, Medical Records, Medical History Documentation, Health Information Management and Medical Records, Health Informatics, Prompt Engineering, Health Technology, System Implementation
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Object Oriented Programming (OOP), Software Design, Program Development, Data Structures, Visualization (Computer Graphics), Graphic and Visual Design, Computer Graphics, Creative Design, Python Programming, Algorithms, Linear Algebra, Simulations, Spatial Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Health Policy, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, STATA (Software), Maternal Health, Data Quality
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Data Preprocessing, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Visualization, Data Synthesis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Amazon Elastic Compute Cloud, Application Deployment, Predictive Modeling, Data Pipelines, Extract, Transform, Load, Data Processing
Intermediate · Course · 1 - 4 Weeks

Corporate Finance Institute
Skills you'll gain: Classification Algorithms, Model Evaluation, Machine Learning Algorithms, Logistic Regression, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Supervised Learning, Data Modeling, Analytics, Analysis, Data Analysis, Business Metrics, Feature Engineering, Advanced Analytics, Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Data Visualization, Exploratory Data Analysis
Advanced · Course · 1 - 3 Months

Skills you'll gain: Blogs, Search Engine Optimization, Brand Marketing, Content Marketing, Keyword Research, Content Creation, Web Analytics, Customer Engagement, Thought Leadership, Customer Relationship Building, Content Management Systems, Business Marketing
Beginner · Guided Project · Less Than 2 Hours

University of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling
Mixed · Course · 1 - 3 Months