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: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Manipulation, Data Processing, Data Structures, Linear Algebra, Numerical Analysis, Software Installation
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Keras (Neural Network Library), Data Processing, Data Analysis, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Computer Vision, Data Visualization, Machine Learning, Performance Tuning
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Python Programming, Predictive Modeling, Data Processing, Data Science, Data Manipulation, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, SAS (Software), Classification And Regression Tree (CART), Predictive Modeling, Statistical Modeling, Regression Analysis, Predictive Analytics, Applied Machine Learning, Statistical Methods, Data Processing, Data Manipulation, Data Cleansing, Data Transformation, Statistical Analysis, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Facebook, Online Advertising, Advertising Campaigns, Advertising, Digital Advertising, Social Media, Social Media Campaigns, Web Analytics, Marketing
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Pandas (Python Package), Data Transformation, Exploratory Data Analysis, Classification And Regression Tree (CART), Regression Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Seaborn, Plot (Graphics), Matplotlib, Exploratory Data Analysis, Data Visualization Software, Statistical Visualization, Data Storytelling, Scatter Plots, Pandas (Python Package)
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Big Data, Artificial Neural Networks, Trend Analysis, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Statistical Analysis, Forecasting, Advanced Analytics, Deep Learning, Predictive Analytics, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Marketing Strategies, Facebook, Web Analytics, Marketing Analytics, Social Media Marketing, Online Advertising, Business Marketing, Target Audience, Digital Marketing, Business Communication
Beginner · Guided Project · Less Than 2 Hours