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: 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: Benchmarking, Search Engine Optimization, Content Performance Analysis, Keyword Research, Marketing Analytics, Key Performance Indicators (KPIs), Performance Analysis, Web Analytics and SEO, Performance Measurement, Content Strategy, Performance Improvement, Driving engagement, Trend Analysis, Customer Insights
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Telehealth, Patient Evaluation, Health Technology, Health Assessment, Clinical Assessment, Patient Treatment, Patient Communication, Health Informatics, Telecommunications, Primary Care
Beginner · Course · 1 - 4 Weeks

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: 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

Skills you'll gain: AWS SageMaker, Exploratory Data Analysis, Feature Engineering, Dashboard, Data Presentation, Model Evaluation, Data Visualization, Data Pipelines, Project Documentation, Solution Delivery, Amazon Web Services, Data Analysis, Data Integration, Cloud Development, Technical Documentation, Business Intelligence, Cloud Infrastructure, Technical Communication, Automation, Project Management
Beginner · Course · 1 - 3 Months

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

Northeastern University
Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

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: Feature Engineering, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming, Predictive Modeling, Development Environment, Data Manipulation, Exploratory Data Analysis
Intermediate · 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: Data Analysis Expressions (DAX), Customer Insights, Power BI, Dashboard, Data Modeling, Data Transformation, Data Import/Export, Interactive Data Visualization, Business Intelligence, Time Series Analysis and Forecasting, Data Visualization Software, Data Cleansing, Trend Analysis
Intermediate · Course · 1 - 4 Weeks