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.

Johns Hopkins University
Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Data Analysis, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing, R Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Quantum computing, Probability, Linear Algebra, Probability & Statistics, Mathematics and Mathematical Modeling, Statistics, Applied Mathematics, Computer Science, Algebra, Physics
Beginner · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Statistical Methods, Statistical Analysis, Variance Analysis
Intermediate · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Regression Analysis, Statistical Methods, Data Analysis, Correlation Analysis, Model Evaluation, Probability Distribution
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Decision Intelligence, Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Sampling (Statistics), Algorithms
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Probability & Statistics, Probability, Probability Distribution, Simulations, Statistical Modeling, Statistical Methods, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis
Mixed · Course · 1 - 4 Weeks

École Polytechnique
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Interactive Data Visualization, Simulations, Statistical Methods, Sampling (Statistics), Mathematical Theory & Analysis, Correlation Analysis, Applied Mathematics
Mixed · Course · 1 - 3 Months

Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Statistical Programming, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
Beginner · Course · 1 - 3 Months

Columbia University
Skills you'll gain: Statistical Inference, Regression Analysis, Applied Machine Learning, Statistical Methods, Statistical Machine Learning, Statistical Analysis, Statistical Hypothesis Testing, Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design
Advanced · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Probability Distribution, Pandas (Python Package), Data Analysis, Data Wrangling, Analytics, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Computational Thinking, Statistical Methods, Data Processing, Statistical Analysis, Data Preprocessing, Data Transformation, Data Structures, Data Cleansing, Programming Principles
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Machine Learning, Statistical Modeling, Predictive Analytics, Business Analytics, Statistical Methods, Data Analysis, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model, Diagnostic Tests, Probability Distribution, Sampling (Statistics)
Mixed · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms
Advanced · Course · 1 - 3 Months