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: Markov Model, Engineering Analysis, Mathematical Modeling, Computational Thinking, Failure Analysis, Biological Engineering, Hazard Analysis, Simulations, Chemical Engineering, Model Evaluation, Applied Mathematics, Differential Equations, Probability
Build toward a degree
Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Data Quality, Data Integrity, Data Validation, Data Governance, Quality Assurance, Data Collection, Data Strategy, Data Preprocessing, Data Analysis, Verification And Validation, Design Strategies, Sampling (Statistics)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Methods, Network Architecture, Artificial Intelligence, Network Model, Machine Learning, Classification Algorithms
Intermediate · Course · 1 - 3 Months

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

University of Minnesota
Skills you'll gain: Medical Devices, Stakeholder Analysis, Program Evaluation, Regulatory Affairs, Healthcare Industry Knowledge, Cost Benefit Analysis, Health Care Procedure and Regulation, Health Informatics, Health Technology, Health Policy, Regulatory Requirements, Clinical Trials, Medicare, Payment Systems, Financial Analysis, Probability & Statistics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: File I/O, JSON, Package and Software Management, Authorization (Computing), Web Scraping, Application Programming Interface (API), Python Programming, Authentications, Object Oriented Programming (OOP), Data Processing, Simulations, Data Management, Probability & Statistics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Credit Risk, Derivatives, Finance, Case Studies, Financial Analysis, Risk Analysis, Financial Modeling, Portfolio Risk, Financial Market, Risk Management, Capital Markets, Mathematical Modeling, Probability
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Server Side, Web Development, Web Scraping, Web Applications, Back-End Web Development, Integration Testing, Python Programming, Web Services, Extensible Markup Language (XML), Package and Software Management, Development Testing, Unit Testing, Performance Tuning, Cross Platform Development, Hypertext Markup Language (HTML), Debugging
Mixed · Course · 1 - 4 Weeks
Kennesaw State University
Skills you'll gain: Marketing, Marketing Channel, Social Media Marketing, Marketing Strategies, Marketing Effectiveness, Content Marketing, Consumer Behaviour, Digital Marketing, Advertising, Social Media, Social Media Strategy, Branding, Digital Media Strategy, Digital Advertising
Beginner · Course · 1 - 4 Weeks

Case Western Reserve University
Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Simulations
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PySpark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Data Transformation, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Image Analysis
Mixed · Course · 1 - 4 Weeks