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: Model Evaluation, Regression Analysis, Applied Machine Learning, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Analysis, R Programming, Predictive Analytics, Exploratory Data Analysis, Supervised Learning, Statistical Analysis, Correlation Analysis, Probability & Statistics, Data Manipulation, Linear Algebra, Statistical Hypothesis Testing
Mixed · Course · 1 - 4 Weeks
University of Pennsylvania
Skills you'll gain: Demography, International Relations, Political Sciences, Market Trend, Socioeconomics, Trend Analysis, Economics, Policy, and Social Studies, World History, Social Sciences, Cultural Diversity, Economic Development, Sociology, Consumer Behaviour, Financial Systems, Economics, Business, Business Economics, Analysis, Governance
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Facebook, Online Advertising, Advertising Campaigns, Advertising, Digital Advertising, Social Media, Social Media Campaigns, Web Analytics, Marketing
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Social Media Marketing, Drive Engagement, Social Media, Customer Engagement, Social Media Campaigns, Advertising Campaigns, Content Performance Analysis, Web Analytics, Marketing
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Matplotlib, Data Preprocessing, Box Plots, E-Commerce, Business Analytics, Data Visualization Software, Histogram, Data Analysis, Scatter Plots, Exploratory Data Analysis, Pandas (Python Package), Jupyter, Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Data Preprocessing, Pandas (Python Package), Heat Maps, Data Manipulation, Seaborn, Histogram, Scatter Plots, Matplotlib, Exploratory Data Analysis, Applied Machine Learning, Data Visualization Software
Mixed · Course · 1 - 4 Weeks

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: 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: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, AI Enablement, MLOps (Machine Learning Operations), Data Science, Prompt Engineering, Model Evaluation, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Seaborn, Plot (Graphics), Matplotlib, Exploratory Data Analysis, Data Visualization Software, Statistical Visualization, Data Storytelling, Scatter Plots, Pandas (Python Package)
Mixed · 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