Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Johns Hopkins University
Skills you'll gain: Public Health and Disease Prevention, Research Methodologies, Health Policy, Public Health, Epidemiology, Mental Health, Social Determinants Of Health, Health Disparities, Maternal Health, Mental Health Diseases and Disorders, Cultural Diversity
Beginner · Course · 1 - 3 Months

National Taiwan University
Skills you'll gain: Operations Research, Linear Algebra, Applied Mathematics, Algorithms, Computational Thinking, Mathematical Modeling, Resource Allocation, Decision Making, Business Analytics
Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Health Technology, Data Visualization Software, Telehealth, Agile Methodology, Health Disparities, Health Informatics, Health Care, Health Care Procedure and Regulation, Health Systems, Electronic Medical Record, digital literacy, Interoperability, Clinical Data Management, Public Health, Tableau Software, Model Evaluation, Data Ethics, Digital Transformation, User Centered Design, Analytics
Intermediate · Specialization · 1 - 3 Months

Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning
Beginner · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Estimation, Advanced Mathematics, Mathematical Modeling, Control Systems, Matlab, Linear Algebra, Statistical Methods, Predictive Analytics, Applied Mathematics, Time Series Analysis and Forecasting, Forecasting, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Universidad Austral
Skills you'll gain: Digital Marketing, Customer Relationship Management, Social Media Marketing, Digital Media Strategy, Social Media Strategy, Marketing Analytics, Marketing Strategies, Web Analytics, Marketing, Sales Process, Business Analytics, Customer Retention, Search Engine Marketing, Customer Engagement, Email Marketing, Search Engine Optimization, Content Performance Analysis, Analytics, Lead Generation, Target Audience
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Google Sheets, Exploratory Data Analysis, Statistical Analysis, Data Analysis, Data Presentation, Spreadsheet Software, Data Visualization, Graphing, Statistics, Data Science, Data Manipulation
Beginner · Guided Project · Less Than 2 Hours

EDHEC Business School
Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Portfolio Risk, Machine Learning, Applied Machine Learning, Financial Market, Financial Modeling, Supervised Learning, Predictive Analytics, Unsupervised Learning, Regression Analysis, Statistical Methods, Jupyter, Computer Science, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Recurrent Neural Networks (RNNs), Machine Learning Algorithms, Model Evaluation, Exploratory Data Analysis, Dimensionality Reduction, Convolutional Neural Networks, Applied Machine Learning, Generative Adversarial Networks (GANs), Decision Tree Learning, Autoencoders, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Classification Algorithms, Artificial Neural Networks, Data Science, Machine Learning, Python Programming
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms
Intermediate · Course · 1 - 3 Months