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.

Tecnológico de Monterrey
Skills you'll gain: Risk Analysis, Project Risk Management, Risk Management, Change Control, Risk Mitigation, Project Controls, Change Management, Microsoft Project, Project Management, Simulation and Simulation Software, Probability & Statistics
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Problem Solving, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Probability, Artificial Neural Networks, Mathematical Modeling, Behavioral Economics, Convolutional Neural Networks, Algorithms, Human Development, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Artificial Intelligence, Psychology, Human Learning, Theoretical Computer Science, Human Machine Interfaces
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Data Preprocessing, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Matlab, Data Processing, Data Cleansing, Data Manipulation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Experimentation, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, A/B Testing, Data Analysis, Quantitative Research, Regression Analysis, Statistical Inference, Probability & Statistics, Sample Size Determination, Linear Algebra, Calculus
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Distributed Computing, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

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

University of Geneva
Skills you'll gain: Ethical Standards And Conduct, Environmental Issue, Social Justice, Policy Analysis, Political Sciences, Education and Training, Human Development, Personal Development
Mixed · Course · 1 - 3 Months

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

New York Institute of Finance
Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management
Intermediate · Course · 1 - 4 Weeks

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: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Data Integration, Mathematical Modeling, Data Analysis, Vector Databases, Probability, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Spatial Data Analysis, Derivatives, Physics
Intermediate · Specialization · 3 - 6 Months