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 TrialJohns Hopkins University
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
Status: PreviewGeorgia Institute of Technology
Skills you'll gain: Game Theory, Combinatorics, Mathematical Theory & Analysis, Computational Logic, Mathematical Modeling
Status: Free TrialBirla Institute of Technology & Science, Pilani
Skills you'll gain: Data Analysis, Statistical Analysis, Data Visualization, Predictive Modeling, Applied Mathematics
Status: PreviewÉcole Polytechnique
Skills you'll gain: Probability, Simulations, Advanced Mathematics, Probability & Statistics, Probability Distribution, Statistical Methods, Mathematical Theory & Analysis, Sampling (Statistics), Mathematical Modeling, Statistical Inference
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 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: 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: 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
Universidad de los Andes
Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics
Status: NewStatus: Free TrialArizona State University
Skills you'll gain: Probability & Statistics, Analytical Skills, Exploratory Data Analysis, Estimation, Logistic Regression
Status: PreviewNortheastern University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation
In summary, here are 10 of our most popular probability theory courses
- Statistical Methods for Computer Science:Â Johns Hopkins University
- Bayesian Statistics:Â Duke University
- Games without Chance: Combinatorial Game Theory :Â Georgia Institute of Technology
- Probability and Statistics:Â Birla Institute of Technology & Science, Pilani
- Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
- Bayesian Statistics: Techniques and Models:Â University of California, Santa Cruz
- Probabilistic Graphical Models 3: Learning:Â Stanford University
- Introduction to Probability and Data with R:Â Duke University
- Simulation Models for Decision Making:Â University of Minnesota
- Fundamentos de probabilidad y aplicaciones:Â Universidad de los Andes
