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.

Duke University
Skills you'll gain: Regression Analysis, R (Software), Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Model Evaluation, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Model Evaluation
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Interactive Design, Canva (Software), Layout Design, Digital Design, Information Architecture, Browser Compatibility, Graphic and Visual Design, Typography, Design Strategies, Color Theory, Design Elements And Principles, Quality Assurance
Beginner · Course · 1 - 4 Weeks

Stanford University
Skills you'll gain: Social Network Analysis, Network Analysis, Social Sciences, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Behavioral Economics, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability, Simulations
Advanced · Course · 1 - 3 Months

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Data Literacy, Technical Communication, Probability & Statistics, Web Scraping, Data Import/Export, JSON, Media and Communications, Statistical Analysis, Pandas (Python Package), Image Analysis, Case Studies, Interactive Data Visualization, Advanced Analytics, Analytical Skills, Data-Driven Decision-Making, AI Enablement, Descriptive Statistics, Statistical Inference, Analysis, Unsupervised Learning
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Statistics, Data Analysis, Regression Analysis
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Statistical Modeling, Machine Learning Methods, Classification Algorithms, Unstructured Data, Deep Learning, Probability Distribution, Linear Algebra, Algorithms
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Data Analysis, Quantitative Research, Regression Analysis, Research Design, Graph Theory
Intermediate · Course · 1 - 3 Months

University of Colorado System
Skills you'll gain: TCP/IP, Local Area Networks, Routing Protocols, Network Routing, Digital Communications, OSI Models, Network Protocols, Dynamic Host Configuration Protocol (DHCP), Network Planning And Design, Network Security, Network Architecture, Computer Networking, Network Infrastructure, Network Performance Management, Wireless Networks, Graph Theory, Telecommunications, Software-Defined Networking, Algorithms, System Programming
Intermediate · Specialization · 3 - 6 Months

University of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Network Routing, Estimation, Machine Learning Methods
Advanced · Specialization · 3 - 6 Months