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.
University of Colorado Boulder
Skills you'll gain: Electrical Safety, Electrical Systems, High Voltage, Simulations, Electronic Components, Safety Standards, Estimation, Control Systems, Basic Electrical Systems, Thermal Management, Mathematical Modeling, Power Electronics, Electrical Power, Failure Analysis, Probability, Electrical Engineering, Energy and Utilities, Model Evaluation, Simulation and Simulation Software, Machine Learning Methods
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Data Analysis Software, Probability, Descriptive Statistics, Quality Improvement, Process Engineering
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Probability, Linear Algebra, Probability & Statistics, Statistics, Mathematical Theory & Analysis, Computational Logic, Applied Mathematics, Advanced Mathematics, Computer Science, Algebra, Physics
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Model Deployment, Logistic Regression, Probability & Statistics, Statistics, Model Evaluation, Classification And Regression Tree (CART)
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Evaluation, Data Preprocessing, Convolutional Neural Networks, Image Analysis, Diagnostic Radiology, Predictive Modeling, Risk Modeling, Statistical Machine Learning, Artificial Intelligence, Tensorflow, Applied Machine Learning, Medical Imaging, Machine Learning Methods, Deep Learning, Natural Language Processing, Medical Science and Research, Machine Learning, Magnetic Resonance Imaging, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Kennesaw State University
Skills you'll gain: Process Capability, Team Management, Statistical Process Controls, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Correlation Analysis, Data Collection, Regression Analysis, Process Improvement, Quality Improvement, Business Process, Graphing
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability, Probability Distribution, R (Software), Bayesian Statistics, Data Analysis, Statistics, R Programming, Descriptive Statistics, Statistical Inference
Beginner · Course · 1 - 3 Months

Stanford University
Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Computer Science, Probability
Intermediate · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Deductive Reasoning, Probability, Sampling (Statistics), Sample Size Determination, Correlation Analysis, Case Studies, Scientific Methods
Beginner · Course · 1 - 3 Months