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: Sampling (Statistics), Estimation, Risk Analysis, Statistical Methods, Statistical Software, Return On Investment, Statistical Analysis, Sample Size Determination, R (Software), Data Analysis, Business Risk Management, Probability & Statistics, Statistical Inference, Project Estimation, Business Analysis
Build toward a degree
Intermediate · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Portfolio Management, Portfolio Risk, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Financial Data, Statistical Programming, Regression Analysis, Data Manipulation, Data Visualization
Beginner · Course · 1 - 4 Weeks

Sungkyunkwan University
Skills you'll gain: Scalability, Deep Learning, AI Personalization, Data Mining, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Process Mapping, Six Sigma Methodology, Lean Six Sigma, Quality Improvement, Organizational Change, Lean Methodologies, Statistical Hypothesis Testing, Organizational Leadership, Quality Management, Process Analysis, Correlation Analysis, Project Scoping, Data-Driven Decision-Making, Root Cause Analysis, Statistical Analysis, Process Improvement, Business Process, Continuous Improvement Process, Sampling (Statistics), Statistical Methods
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Data Preprocessing, Probability & Statistics, Data Analysis, Data Visualization Software, Bayesian Statistics, Scatter Plots, Scripting, Python Programming, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Regression Analysis
Mixed · Course · 1 - 4 Weeks

L&T EduTech
Skills you'll gain: Building Codes, Engineering Analysis, Engineering Calculations, Structural Engineering, Simulation and Simulation Software, Finite Element Methods, Construction Engineering, Mathematical Software, Civil Engineering, Engineering Practices, Structural Analysis, Construction, Environmental Engineering, Engineering Design Process, Engineering, Scientific, and Technical Instruments, Laboratory Testing
Intermediate · Course · 1 - 4 Weeks

L&T EduTech
Skills you'll gain: Electric Power Systems, Electrical Power, Systems Analysis, Electrical Engineering, Network Analysis, Numerical Analysis, Mathematical Modeling, Simulation and Simulation Software, Simulations, Graph Theory
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming
Intermediate · Course · 1 - 4 Weeks

KodeKloud
Skills you'll gain: Ansible, YAML, IT Automation, Infrastructure as Code (IaC), Devops Tools, Shell Script, Configuration Management, Virtual Machines
Beginner · Course · 1 - 4 Weeks

Codio
Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Statistical Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Correlation Analysis, Python Programming, Programming Principles, Computer Programming, Computational Logic
Mixed · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Debugging, Data Analysis, Simulations, Programming Principles, Integrated Development Environments, Data Import/Export, Data Structures, Data Manipulation, Computer Programming, Performance Tuning, Software Installation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis
Mixed · Course · 1 - 4 Weeks