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.

New York University
Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Scientific Methods, Science and Research, General Science and Research, Research Methodologies, Research, Research Design, Deductive Reasoning, Peer Review, Experimentation, Media and Communications, Correlation Analysis, Journalism, Statistical Analysis, Probability & Statistics, Cultural Diversity, Descriptive Statistics, Communication
Beginner · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Market Research, Proposal Writing, Research Methodologies, Market Analysis, Business Research, Data Collection, Quantitative Research, Business Writing, Sampling (Statistics), Survey Creation, Qualitative Research, Request for Proposal, Client Services, Professional Networking
Intermediate · Course · 1 - 4 Weeks

École normale supérieure
Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Mathematical Modeling, Probability
Mixed · Course · 1 - 3 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Biology, Life Sciences, Human Learning, Environment, World History, Cell Biology, Scientific Methods, European History, Taxonomy, Specimen Collection, Mathematical Modeling, Probability & Statistics
Beginner · Specialization · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Surveys, User Research, Survey Creation, Sampling (Statistics), A/B Testing, Web Analytics, Qualitative Research, Usability Testing, Research Methodologies, Web Analytics and SEO, Data Collection, Research Design, Sample Size Determination, Analytics, Data Analysis
Beginner · Course · 1 - 3 Months

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

École Polytechnique
Skills you'll gain: Physics, Mechanics, Semiconductors, Linear Algebra, electromagnetics, Probability, Calculus, Differential Equations, Advanced Mathematics, Mathematical Modeling, Experimentation
Intermediate · Course · 1 - 3 Months

Tally Education and Distribution Services Private Limited
Skills you'll gain: Payroll, Payroll Systems, Payroll Administration, Payroll Processing, Payroll Reporting, Income Tax, Human Resources Software, Compensation Management, Tax Compliance, Tax Laws
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Advertising, English Language, Media and Communications, Vocabulary, Language Learning, Literacy, Electronic Media, Cultural Diversity, Social Impact, Grammar, Facebook
Mixed · 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