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.

Universidad Nacional Autónoma de México
Skills you'll gain: Health Systems, Health Assessment, Health Care, Physiology, Systems Thinking, Public Health, Human Factors, Biology, Epidemiology, Network Analysis, General Medical Tests and Procedures, Medical Practices and Procedures
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Patient-centered Care, Telehealth, Patient Communication, Spanish Language, Patient Education And Counseling, Dignity in Care, Health Care, Bilingual (Spanish/English), Language Competency, Virtual Environment, Medical Privacy
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Kibana, Interactive Data Visualization, Business Analytics, Data-Driven Decision-Making, Data Presentation, System Monitoring, Web Analytics, Exploratory Data Analysis, Data Visualization Software, Trend Analysis, Data Analysis, Automation, Business Intelligence, Data Wrangling, Retail Sales, Scripting, Devops Tools, Python Programming, Data Science
Beginner · Specialization · 1 - 4 Weeks

Coursera
Skills you'll gain: Marketing Effectiveness, Marketing Analytics, Google Analytics, Web Analytics, Verification And Validation, Goal Setting, Web Analytics and SEO, Performance Metric, Transaction Processing, Data Validation, System Testing
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Pseudocode, Computational Thinking, Bayesian Network, Data Structures, Graph Theory, Machine Learning Algorithms, Classification Algorithms, Network Analysis, Probability, Probability & Statistics
Mixed · Course · 1 - 3 Months

Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Logistic Regression, SAS (Software), Predictive Analytics, Automation, Data Integration, Advanced Analytics, Debugging, Statistical Programming, SQL, Statistical Methods, Report Writing, Data Manipulation, Model Evaluation, Data Analysis, Statistical Reporting, Data Access, Microsoft Excel, Analysis, Finance
Beginner · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Looker (Software), Data Modeling, Exploratory Data Analysis, Data Validation, Data Maintenance, Problem Management, Data Analysis, Data Visualization, Data Analysis Software, Google Cloud Platform
Intermediate · Project · Less Than 2 Hours

Microsoft
Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Exploratory Data Analysis, Data Analysis, Data Cleansing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Facebook, Content Performance Analysis, Drive Engagement, Social Media, Social Media Marketing, Target Audience, Instagram, Customer Insights, Advertising, Web Analytics, Social Work
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram
Mixed · Course · 1 - 4 Weeks