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.

Princeton University
Skills you'll gain: Combinatorics, Mathematical Theory & Analysis, Advanced Mathematics, Graph Theory, Theoretical Computer Science, Calculus, Probability, Computational Thinking
Intermediate · Course · 1 - 3 Months

Technical University of Munich (TUM)
Skills you'll gain: Consumer Behaviour, Market Research, Food Quality Assurance And Control, Food and Beverage, Research, Packaging and Labeling, Product Knowledge, Sustainability Standards, Innovation, Global Marketing, Supply And Demand, Economics
Intermediate · Course · 3 - 6 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

Kennesaw State University
Skills you'll gain: Process Improvement, Six Sigma Methodology, Lean Six Sigma, Knowledge Transfer, Continuous Improvement Process, Lean Manufacturing, Quality Management, Product Design, Statistical Methods, Design and Product, Probability & Statistics
Mixed · 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 Illinois Urbana-Champaign
Skills you'll gain: Marketing, Marketing Planning, Branding, Marketing Strategy and Techniques, Consumer Behaviour, Brand Management, Product Planning, Go To Market Strategy, Marketing Analytics, Target Market, Promotional Strategies, Value Propositions, Market Analysis, Customer Insights
Build toward a degree
Beginner · Course · 1 - 3 Months

University of Maryland, College Park
Skills you'll gain: Data Collection, Survey Creation, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Data Management, Big Data, Statistical Methods
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms
Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Infectious Diseases, Epidemiology, Public Health and Disease Prevention, Public Health, Health Disparities, Cardiology, Social Determinants Of Health, Chronic Diseases, Microbiology, Health Care, Community Health, Health Education, Health Systems, Socioeconomics, Preventative Care, Health Policy, Health Assessment, Trend Analysis, Immunology, Medical Science and Research
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Computer Vision, Dimensionality Reduction, Model Evaluation
Intermediate · Course · 1 - 3 Months