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.

Tufts University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Probability & Statistics, Statistical Analysis, Analytical Skills, Statistics, Business Analytics, Python Programming, Technical Communication
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference
Beginner · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, R (Software), Statistical Reporting, Data Analysis, Statistical Analysis, R Programming, Statistical Methods, Probability & Statistics, Quantitative Research, Sampling (Statistics), Probability Distribution
Beginner · Course · 1 - 3 Months

Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming
Beginner · Specialization · 1 - 3 Months

University of Leeds
Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, R (Software), Data Collection, Statistical Inference, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Data Visualization Software
Intermediate · Course · 1 - 4 Weeks

Northeastern 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
Mixed · Course · 1 - 3 Months

Johns 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
Beginner · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Methods, Probability Distribution, Classification Algorithms
Intermediate · Course · 1 - 3 Months

National Taiwan University
Skills you'll gain: Logistic Regression, Sampling (Statistics), Model Evaluation, Statistical Methods, Regression Analysis, Statistical Hypothesis Testing, Statistical Modeling, Statistical Analysis, R Programming, Business Analytics, Probability & Statistics
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)
Build toward a degree
Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)
Advanced · Course · 1 - 3 Months