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: 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
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
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: PreviewNational Taiwan University
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Data Literacy
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 TrialJohns Hopkins University
Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Artificial Intelligence, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis
University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistics, Probability & Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Combinatorics
Status: PreviewBall State University
Skills you'll gain: Statistical Methods, Probability, Data Science, Probability & Statistics, Statistical Analysis, Probability Distribution, Statistical Modeling, Bayesian Statistics, Statistical Inference, Sampling (Statistics), R Programming, Statistical Visualization
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Sampling (Statistics), R (Software), Statistical Inference, Probability Distribution, R Programming, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Probability, Data Manipulation, Histogram
Searches related to probability distribution
In summary, here are 10 of our most popular probability distribution courses
- Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
- Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
- Using probability distributions for real world problems in R: Coursera
- Statistics for Data Science Essentials: University of Pennsylvania
- 頑想學概率：機率一 (Probability (1)): National Taiwan University
- Probabilistic Graphical Models 2: Inference: Stanford University
- Data – What It Is, What We Can Do With It: Johns Hopkins University
- Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
- Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
- What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
