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.

UniversitĆ di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling
Intermediate Ā· Course Ā· 1 - 4 Weeks

University of Michigan
Skills you'll gain: Unsupervised Learning, Embeddings, Supervised Learning, Data Preprocessing, Data Transformation, Python Programming, Exploratory Data Analysis
Advanced Ā· Course Ā· 1 - 4 Weeks

Universitat de Barcelona
Skills you'll gain: Precision Medicine, Clinical Trials, Oncology, Molecular Biology, Pathology, Diagnostic Tests, Medical Science and Research, Pharmacology, Patient Treatment, Life Sciences
Intermediate Ā· Course Ā· 3 - 6 Months

Google Cloud
Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL
Beginner Ā· Project Ā· Less Than 2 Hours

Skills you'll gain: Microsoft Excel, Excel Formulas, Data Management, Data Analysis, Data Cleansing, Pivot Tables And Charts, Analytical Skills, Data Manipulation, Data Entry, Statistical Analysis, Data Import/Export, Data Quality, Data Visualization Software, Data Validation, Forecasting
Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Customer Analysis, Regional Sales, Sales, Data Analysis Software, Data Analysis, Query Languages, Trend Analysis, Databases, Customer Insights, Performance Analysis, Market Opportunities, Product Assortment
Intermediate Ā· Guided Project Ā· Less Than 2 Hours

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 Ā· Course Ā· 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Visualization, Tableau Software, Matplotlib, Geospatial Information and Technology, Spatial Analysis, Geospatial Mapping, Visualization (Computer Graphics), Seaborn, Infographics, Heat Maps, Data Ethics, Text Mining, Data Mapping, Network Analysis
Build toward a degree
Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Deployment, Risk Modeling, Logistic Regression, Statistical Analysis, Performance Metric
Mixed Ā· Course Ā· 1 - 4 Weeks

Pontificia Universidad Católica de Chile
Skills you'll gain: Medical Prescription, Drug Interaction, Pharmacotherapy, Medication Administration, Medication Dispensation, Pharmacology, Patient Safety, Patient Education And Counseling, Health Care, Geriatrics
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Data Import/Export, NumPy, Pandas (Python Package), Pivot Tables And Charts, Business Reporting, Data Manipulation, Analytics, Data Processing, Management Reporting, Data Wrangling, Business Analytics, Data Cleansing, Data Analysis, Data Transformation, Statistical Analysis, Data Management, Descriptive Statistics, Linear Algebra
Mixed Ā· Course Ā· 1 - 4 Weeks

Arizona State University
Skills you'll gain: Exploratory Data Analysis, Decision Making, Unstructured Data, Data-Driven Decision-Making, Data Literacy, Data Management, Solution Design, Data Analysis, Needs Assessment, Requirements Analysis
Beginner Ā· Course Ā· 1 - 4 Weeks