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.

Skills you'll gain: Statistical Inference, Regression Analysis, Logistic Regression, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Probability Distribution, Probability
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Infectious Diseases, Pathology, Patient Evaluation, Healthcare Ethics, Microbiology, Public Health and Disease Prevention, Diagnostic Tests, Bloodborne Pathogens, Laboratory Testing, Public Health, Immunology, Biology, Case Studies, Patient Treatment, Health Care, Clinical Assessment
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Business Analytics, Statistical Analysis, Analytics, Microsoft Excel, Statistical Modeling, Probability & Statistics, Statistical Methods, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Survey Creation, Data Collection, Statistical Analysis, Data Analysis Software, Interviewing Skills, Surveys, Research Design, STATA (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Data Quality, Statistical Modeling, Qualitative Research, Data Cleansing, R Programming
Beginner · Specialization · 3 - 6 Months

Columbia University
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Deep Learning, Data-Driven Decision-Making, Decision Support Systems, Simulations, Probability Distribution, Statistical Methods
Intermediate · Course · 1 - 3 Months

Rice University
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Dataflow, Java Programming, Java, Software Architecture, Systems Architecture, Scala Programming, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Functional Design, Performance Testing
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Derivatives, Financial Market, Securities (Finance), Finance, Risk Modeling, Mathematical Modeling, Financial Modeling, Risk Management, Portfolio Management, Probability, Advanced Mathematics, Differential Equations, Applied Mathematics, Calculus
Intermediate · Course · 1 - 3 Months

New York Institute of Finance
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 3 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Bayesian Network, Computational Logic, Markov Model, Artificial Intelligence, Game Theory, Theoretical Computer Science, Logical Reasoning, Python Programming, Deductive Reasoning, Reinforcement Learning, Probability, Verification And Validation, Decision Tree Learning, Algorithms, Probability Distribution
Intermediate · Course · 1 - 3 Months

Kennesaw State University
Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Lean Methodologies, Process Improvement, Team Management, Process Capability, Data Collection, Knowledge Transfer, Team Building, Statistical Hypothesis Testing, Meeting Facilitation, Continuous Improvement Process, Performance Measurement, Conflict Management, Process Analysis, Sampling (Statistics), Quality Control, Team Leadership, Statistics
Intermediate · Specialization · 3 - 6 Months

University of Toronto
Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra
Advanced · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 3 Months