Probability distribution courses can help you learn about normal, binomial, and Poisson distributions, as well as their applications in statistics and data analysis. You can build skills in interpreting data, calculating probabilities, and making informed predictions based on statistical models. Many courses introduce tools like R, Python, and Excel, that support visualizing distributions and performing simulations, helping you apply these concepts in practical scenarios such as risk assessment and decision-making.

École Polytechnique
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Statistical Methods, Sampling (Statistics), Statistical Inference, Simulations, Mathematical Theory & Analysis, Calculus, Correlation Analysis
★ 4.6 (40) · Mixed · Course · 1 - 3 Months

University of Pittsburgh
Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Probability, Mathematical Modeling, Machine Learning, Algorithms
Beginner · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Statistical Methods, Bayesian Statistics, Statistics, Probability & Statistics, Analytics, Data Storage Technologies, Exploratory Data Analysis, Data Store, Mathematical Software, Data Storage, Data Access, Statistical Machine Learning, Database Software, Estimation, Machine Learning Methods, Data-Driven Decision-Making, Applied Machine Learning, Supervised Learning, Markov Model, Regression Testing
Intermediate · Specialization · 3 - 6 Months

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
★ 4.3 (18) · Intermediate · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Dependency Analysis
★ 4.6 (1.4K) · Advanced · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, Applied Machine Learning, R (Software), R Programming, Social Network Analysis, Statistical Methods, Simulations, Network Model, Statistical Analysis, Probability & Statistics, Statistical Programming, Probability Distribution, Sampling (Statistics), Data Visualization, Machine Learning, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R (Software), Statistical Programming, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Network Model, Simulations, Sampling (Statistics), Probability Distribution, Dependency Analysis
Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation
★ 4.7 (109) · Advanced · Course · 1 - 3 Months

National Taiwan University
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistical Methods, Statistics, Calculus
★ 4.8 (93) · Mixed · Course · 1 - 3 Months

University of California, Santa Cruz
Skills you'll gain: R Programming, Statistical Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Statistical Methods, Probability & Statistics, Statistical Inference, Sampling (Statistics), Probability Distribution, Numerical Analysis, Classification Algorithms
★ 4.5 (63) · Intermediate · Course · 1 - 3 Months
Stanford University
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
★ 4.6 (489) · Advanced · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Statistical Programming, Statistical Software, Sampling (Statistics), R (Software), Numerical Analysis, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution
Intermediate · Course · 1 - 3 Months