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.

University of Pittsburgh
Skills you'll gain: Bayesian Statistics, Statistics, Statistical Inference, Probability & Statistics, Statistical Modeling, Statistical Methods, Probability Distribution, Statistical Analysis, Markov Model, Statistical Programming, Algorithms
Intermediate · Course · 1 - 4 Weeks
Stanford Online
Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Probability & Statistics, Network Analysis, Dependency Analysis
Advanced · Course · 1 - 3 Months

University of Leeds
Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, Statistical Software, R (Software), Probability & Statistics, Data Collection, Statistics, Data Literacy, Statistical Inference, R Programming, Statistical Programming, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Statistical Reporting, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks
Rice University
Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Statistical Methods, Microsoft Excel, Statistical Modeling, Data Analysis, Excel Formulas, Statistical Analysis, Descriptive Analytics, Box Plots, Sampling (Statistics), Statistical Inference, Correlation Analysis, Decision Making, Variance Analysis
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Data Presentation, Descriptive Statistics, Analytics, Descriptive Analytics, Research Methodologies, Statistics, Analytical Skills, Quantitative Research, Statistical Methods, Probability & Statistics
Beginner · Course · 1 - 4 Weeks
Stanford Online
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, Statistical Modeling, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms
Advanced · Course · 1 - 3 Months

University of Pittsburgh
Skills you'll gain: Bayesian Statistics, Data-Driven Decision-Making, Statistical Modeling, Advanced Analytics, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Markov Model, Statistical Methods, Data Science, Health Informatics, Statistical Inference, Statistical Machine Learning, Regression Analysis, Statistical Analysis, Machine Learning, Machine Learning Algorithms, Python Programming, Probability Distribution, Computational Thinking
Intermediate · Course · 1 - 3 Months

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

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
Stanford Online
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms
Advanced · Course · 1 - 3 Months

Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Programming, Statistical Analysis, Probability & Statistics, Regression Analysis, Data Analysis, R Programming, Statistical Software, Probability, Analysis, Data-Driven Decision-Making, Predictive Modeling, Model Evaluation, Probability Distribution
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Methods, Probability & Statistics, Statistics, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
Beginner · Guided Project · Less Than 2 Hours