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.

Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Quality, Data Manipulation, Python Programming, Machine Learning
Advanced · Course · 1 - 4 Weeks

Universidad Austral
Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Risk Management, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling, Data Science
Beginner · Course · 1 - 4 Weeks
Rice University
Skills you'll gain: Portfolio Management, Investment Management, Investments, Financial Market, Risk Management, Equities, Finance, Return On Investment, Risk Analysis, Statistical Methods, Probability Distribution, Correlation Analysis, Decision Making, Quantitative Research, Variance Analysis
Mixed · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
Intermediate · Specialization · 3 - 6 Months

Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Probability & Statistics, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms
Beginner · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Probability & Statistics, Jupyter, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Artificial Intelligence
Intermediate · Course · 1 - 3 Months

American Psychological Association
Skills you'll gain: Statistical Hypothesis Testing, Sample Size Determination, Probability & Statistics, Probability Distribution, Statistical Methods, Quantitative Research, Statistical Inference, Sampling (Statistics), Statistical Analysis, Probability, Data Analysis
Beginner · Course · 1 - 3 Months

Stanford University
Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Probability & Statistics, Probability
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Sampling (Statistics), Engineering Management, Data-Driven Decision-Making, Probability Distribution, Descriptive Statistics, Statistical Hypothesis Testing, Estimation, Statistical Visualization, Data Analysis, Sample Size Determination, Correlation Analysis, Data Visualization, Statistical Software, Statistical Analysis, Leadership and Management, Technical Management, Leadership, R (Software), Box Plots, Problem Solving
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming
Advanced · Specialization · 3 - 6 Months

University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms
Mixed · Course · 1 - 3 Months