Probability Distribution Courses
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.
Popular Probability Distribution Courses and Certifications
Status: Free TrialJohns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
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: Free TrialStanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking
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: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Artificial Intelligence, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Scatter Plots, Microsoft Excel, Excel Formulas, Data Analysis, Bayesian Statistics
Status: Free TrialUniversity of Pennsylvania
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics
Status: PreviewÉcole Polytechnique
Skills you'll gain: Probability, Probability Distribution, Statistics, Statistical Inference, Simulations, Mathematical Theory & Analysis, Calculus
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations
Status: Free TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics
Status: Free TrialIllinois Tech
Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms
Searches related to probability distribution
In summary, here are 10 of our most popular probability distribution courses
- Computational and Graphical Models in Probability:Â Johns Hopkins University
- Bayesian Statistics:Â Duke University
- Probabilistic Graphical Models 2: Inference:Â Stanford University
- Bayesian Statistics: Techniques and Models:Â University of California, Santa Cruz
- Discrete-Time Markov Chains and Monte Carlo Methods:Â University of Colorado Boulder
- Statistics and Data Analysis with Excel, Part 1:Â University of Colorado Boulder
- Statistics for Data Science Essentials:Â University of Pennsylvania
- Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
- Combinatorics and Probability:Â University of California San Diego
- Advanced Probability and Statistical Methods:Â Johns Hopkins University
