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, Safety Standards, Electronic Components, Estimation, Control Systems, Basic Electrical Systems, Thermal Management, Mathematical Modeling, Power Electronics, Electrical Power, Probability, Electrical Engineering, Electronic Systems, Model Evaluation, Simulation and Simulation Software, Engineering Calculations, Machine Learning Methods
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Yale University
Skills you'll gain: Research Design, Medical Science and Research, Statistical Methods, Descriptive Statistics, Data Literacy, Scientific Methods, Clinical Research, Research, Biostatistics, Sampling (Statistics), Medical Terminology
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Data Ethics, Responsible AI, Technical Communication, Stakeholder Communications, Model Evaluation, Data Preprocessing, Diversity Awareness, Analytical Skills, Data-Driven Decision-Making, Sampling (Statistics), Statistical Analysis
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Electrical Systems, Electronics, Design Specifications, Hardware Design, Electronics Engineering, Electronic Hardware, Technical Design, Electronic Components, Engineering Design Process, Electronic Systems, Verification And Validation, Manufacturing Processes, Manufacturing and Production, Design Software, Project Documentation, Production Process, Design, Design Strategies, Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Process Capability, Lean Six Sigma, Root Cause Analysis, Statistics, Process Mapping, Process Analysis, Performance Measurement, Statistical Methods, Statistical Process Controls, Descriptive Statistics, Probability & Statistics, Process Improvement, Statistical Analysis, Failure Mode And Effects Analysis, Risk Analysis, Systems Of Measurement
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Business Analytics, Data-Driven Decision-Making
Beginner · Course · 1 - 4 Weeks
Emory University
Skills you'll gain: Probability Distribution, Marketing Analytics, Probability, Microsoft Excel, Statistics, Statistical Modeling, Forecasting, Decision Making, Simulation and Simulation Software, Insurance and Warranty Claims Processing, Risk Analysis
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: UI/UX Research, Surveys, Qualitative Research, Usability Testing, User Experience Design, User Research, User Experience, User Story, Prototyping, Wireframing, User Centered Design, Survey Creation, Sampling (Statistics), Design Research, Interaction Design, Ideation, A/B Testing, Conceptual Design, Web Analytics, Usability
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Behavioral Economics, Investments, Financial Analysis, Investment Management, Financial Market, Finance, Portfolio Management, Decision Making, Portfolio Risk, Market Dynamics, Asset Management, Economics, Risk Analysis, Probability & Statistics
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Data Storytelling, Software Quality Assurance, Open Web Application Security Project (OWASP), Text Mining, Database Design, Agile Software Development, Software Development Life Cycle, Data Governance, Unsupervised Learning, Interactive Data Visualization, Software Architecture, Plotly, Cybersecurity, Classification Algorithms, PyTorch (Machine Learning Library), Statistical Hypothesis Testing, Java, Depreciation, Probability & Statistics, Loans
Earn a degree
Degree · 1 - 4 Years

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, Graph Theory, Estimation, Machine Learning Methods
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Data Science, Statistical Inference, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistics, Regression Analysis, Apache Hadoop, Big Data, Machine Learning, Data Manipulation, Data Preprocessing, Data Analysis, Analytics, Random Forest Algorithm, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS
Intermediate · Course · 1 - 3 Months