Courses in Probability Theory can help you learn statistical reasoning, random variables, and probability distributions. You can build skills in hypothesis testing, regression analysis, and decision-making under uncertainty. Many courses introduce tools like R, Python, and Excel, that support analyzing data and modeling real-world phenomena. You'll explore key topics such as Bayes' theorem, expected value, and the law of large numbers, all of which are crucial for applications in fields like finance, engineering, and artificial intelligence.

Universiteit Leiden
Skills you'll gain: Risk Management Framework, Safety and Security, Threat Management, Case Studies, Public Safety and National Security, Cybersecurity, Incident Management, International Relations, Policy Analysis, Systems Thinking, Governance
Beginner · Course · 1 - 3 Months

Universidade de São Paulo
Skills you'll gain: Econometrics, Regression Analysis, Statistical Inference, Statistical Hypothesis Testing, Statistical Modeling, Statistical Analysis, Correlation Analysis, Economics, Probability & Statistics, Time Series Analysis and Forecasting, Data Analysis
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Balance Sheet, Revenue Recognition, Financial Accounting, Financial Reporting, Generally Accepted Accounting Principles (GAAP), Accounting, Income Statement, Financial Statements, Cash Flows, Accrual Accounting, International Financial Reporting Standards, Financial Analysis
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Color Theory, Layout Design, Typography, Adobe Photoshop, Photo Editing, Graphic and Visual Design, Design Elements And Principles, Design, Graphic Design, Image Quality
Beginner · Course · 1 - 4 Weeks

28DIGITAL
Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Embedded Software, Programming Principles, Computer Programming, C (Programming Language), System Design and Implementation, OS Process Management, System Requirements, Computer Architecture, Algorithms
Intermediate · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Applied Machine Learning, Regression Analysis, Classification Algorithms, Statistical Methods, Linear Algebra, Probability
Mixed · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Market Research, Proposal Writing, Research Methodologies, Market Analysis, Business Research, Data Collection, Quantitative Research, Business Writing, Sampling (Statistics), Survey Creation, Qualitative Research, Request for Proposal, Client Services, Professional Networking
Intermediate · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Employee Coaching, Coaching, Leadership and Management, Team Management, Adaptability, Professional Development, People Development, Leadership, Mentorship, Emotional Intelligence, Decision Making, Communication, Active Listening, Critical Thinking
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives
Advanced · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Data Analysis Software, Probability, Descriptive Statistics, Quality Improvement, Process Engineering
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution
Advanced · Course · 1 - 4 Weeks