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: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Universidad de los Andes
Skills you'll gain: Diagnostic Tests, Treatment Planning, Patient Evaluation, Clinical Practices, Urology, Clinical Assessment, Patient Treatment, Medical Imaging, Pathology, Epidemiology, Pharmacology, Public Health, Risk Analysis, Surgery
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, OpenAI API, Generative AI, Exploratory Data Analysis, OpenAI, ChatGPT, Data Analysis, Data-Driven Decision-Making, Trend Analysis, Product Knowledge, Sales Strategy, E-Commerce, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Arizona State University
Skills you'll gain: Matplotlib, File I/O, NumPy, Plot (Graphics), Pandas (Python Package), Data Structures, Data Visualization Software, Data Analysis, Python Programming, Data Processing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Computer Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Integrity, Data Cleansing, Data Quality, Data Validation, Sampling (Statistics), Probability & Statistics, Data Analysis, Statistics, Statistical Analysis, Small Data
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Anomaly Detection, Data Preprocessing, Data Mining, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Data Analysis, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Pandas (Python Package), Data Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Matplotlib, Jupyter, Data Visualization, NumPy, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Illinois Tech
Skills you'll gain: Web Analytics, Paid media, Digital Marketing, Email Marketing, Marketing Analytics, Social Media Marketing, Earned Media, Social Media Campaigns, Social Media, Analytics, Owned Media, Digital Advertising, Performance Measurement, Mobile Banking, Data-Driven Decision-Making, Consumer Behaviour, Data Ethics, Key Performance Indicators (KPIs), Data Collection
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: File I/O, C and C++, Load Balancing, Communication Systems
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Model Evaluation, Pandas (Python Package)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Data Preprocessing, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Visualization, Data Synthesis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours