Probability Theory Courses
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.
Popular Probability Theory Courses and Certifications
Status: Free TrialUniversity of Minnesota
Skills you'll gain: Simulations, Probability Distribution, Probability, Statistics, Microsoft Excel, Excel Formulas, Complex Problem Solving, Business Process Modeling, Business Modeling, Risk Modeling, Financial Modeling, Data Modeling, Statistical Analysis
Status: Free TrialStanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation
Status: PreviewColumbia University
Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Statistics, Probability, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis
Status: Free TrialUniversity of Pittsburgh
Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms
Status: Free TrialBirla Institute of Technology & Science, Pilani
Skills you'll gain: Data Analysis, Statistical Analysis, Data Visualization, Predictive Modeling, Applied Mathematics
Status: PreviewJohns Hopkins University
Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis
Status: PreviewÉcole Polytechnique
Skills you'll gain: Probability, Probability Distribution, Simulations, Probability & Statistics, Statistical Methods, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics
Status: Free TrialUniversity of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution
Status: Free TrialDuke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics
Status: PreviewThe Chinese University of Hong Kong
Skills you'll gain: Communication Systems, Digital Communications, Theoretical Computer Science, Telecommunications, Information Management, Probability, Probability Distribution, Linear Algebra, Digital Signal Processing, Algorithms
Johns Hopkins University
Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Social Sciences, Public Policies, Game Theory, Demography, Logical Reasoning, Applied Mathematics
In summary, here are 10 of our most popular probability theory courses
- Simulation Models for Decision Making:Â University of Minnesota
- Probabilistic Graphical Models 3: Learning:Â Stanford University
- Causal Inference:Â Columbia University
- Statistical Inference:Â Johns Hopkins University
- Statistics and Calculus Methods for Data Analysis:Â University of Pittsburgh
- Probability and Statistics:Â Birla Institute of Technology & Science, Pilani
- Introduction to Uncertainty Quantification:Â Johns Hopkins University
- Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
- Bayesian Statistics: Techniques and Models:Â University of California, Santa Cruz
- Introduction to Probability and Data with R:Â Duke University
