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.

Coursera
Skills you'll gain: Brand Awareness, Looker (Software), Data Storytelling, Brand Marketing, Branding, Brand Strategy, Data Integration, Brand Management, Trend Analysis, Data-Driven Marketing, Competitive Intelligence, Dashboard Creation, Promotional Strategies, Case Studies, Competitive Analysis, Performance Analysis, Marketing Strategies, Market Intelligence, Marketing Communications, Gap Analysis
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Email Marketing, Data-Driven Marketing, Gap Analysis, Marketing Analytics, Performance Analysis, Microsoft Excel, Campaign Management, Data-Driven Decision-Making, Performance Measurement, Variance Analysis, Performance Improvement, Data Analysis, Performance Reporting, Correlation Analysis
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Gemini, Gemini, Exploratory Data Analysis, Data Wrangling, Data Preprocessing, AI Integrations, Big Data, Google Cloud Platform, Interactive Data Visualization, Generative AI Agents, Prompt Engineering, Query Languages, Debugging, SQL
Beginner · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Data-Driven Marketing, Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Digital Marketing, Digital Marketing Tools, Search Engine Marketing, Paid media, Digital Marketing Campaigns, Web Analytics, Online Advertising, Advanced Analytics, A/B Testing, Apache Hadoop, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Feature Engineering, Data Analysis, Return On Investment, Data Storytelling, Performance Measurement, Business Metrics, Statistical Inference
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Classification And Regression Tree (CART), Minitab, Decision Tree Learning, Regression Analysis, Predictive Modeling, Statistical Modeling, Business Analytics, Statistical Methods, Advanced Analytics, Logistic Regression, Data-Driven Decision-Making, Scatter Plots, Plot (Graphics), Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Case Studies, Responsible AI
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Gemini, Gemini, Data Pipelines, Data Wrangling, Exploratory Data Analysis, Google Cloud Platform, AI Integrations, Generative AI, Prompt Engineering, SQL
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Animations, User Interface (UI), UI Components, Game Design, Code Reusability
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Apache Spark, Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Big Data, Feature Engineering, Distributed Computing, Forecasting, Anomaly Detection, Generative AI, Real Time Data, Predictive Modeling, Model Training, Exploratory Data Analysis, Data Pipelines, Model Evaluation, Data Cleansing, Data Transformation, Data Quality, Statistical Modeling
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Splunk, Anomaly Detection, Dashboard Creation, Statistical Reporting, Real Time Data, Data Analysis, Data Visualization Software, System Configuration, Analytical Skills, Data Processing, Data Cleansing, Distributed Computing, Data Import/Export, Configuration Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Wrangling, Data Import/Export, Data Transformation, Predictive Modeling, Applied Machine Learning, Predictive Analytics, Statistical Methods, Regression Analysis, Model Training, Model Optimization, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Classification Algorithms, Machine Learning, Data Ethics, Dimensionality Reduction, Probability & Statistics, Responsible AI, Image Analysis, Natural Language Processing, Computer Vision, Machine Learning Methods, Embedded Systems, Applied Machine Learning, Scikit Learn (Machine Learning Library), Linear Algebra, Regression Analysis, Bayesian Statistics, Scientific Visualization
Credit offered
Mastertrack · 6 - 12 Months