Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Explore the Stochastic Process Course Catalog
- Status: Preview
École Polytechnique
Skills you'll gain: Probability, Simulations, Advanced Mathematics, Probability & Statistics, Probability Distribution, Statistical Methods, Mathematical Theory & Analysis, Sampling (Statistics), Mathematical Modeling, Statistical Inference, Calculus
- Status: Free Trial
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution
- Status: NewStatus: Preview
Northeastern University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Bayesian Statistics, Data Science, Predictive Analytics, Anomaly Detection, Probability Distribution, Machine Learning Methods, Statistical Analysis, A/B Testing, Sampling (Statistics)
- Status: Free Trial
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution
- Status: Preview
University of Minnesota
Skills you'll gain: Physics, Chemistry, Statistical Methods, Probability, Engineering Calculations, Mathematical Modeling
- Status: Free Trial
Stanford University
Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking
- Status: Free Trial
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms
- Status: Free Trial
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing
- Status: Free Trial
University of California San Diego
Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations
- Status: Free Trial
University of Colorado Boulder
Skills you'll gain: Chemical Engineering, Quantitative Research, Chemistry, Thermal Management, Mechanical Engineering, Engineering Calculations, Numerical Analysis, Engineering Analysis, Statistical Methods, Differential Equations, Physics, Engineering, Simulation and Simulation Software, Mechanics, Probability Distribution, Mathematical Modeling, Applied Mathematics, Materials science, Simulations, Physical Science
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra
In summary, here are 10 of our most popular stochastic process courses
- Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
- Bayesian Statistics: Capstone Project: University of California, Santa Cruz
- Engineering Probability and Statistics Part 2: Northeastern University
- Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University
- Fundamentals of Reinforcement Learning: University of Alberta
- Statistical Molecular Thermodynamics: University of Minnesota
- Probabilistic Graphical Models 2: Inference: Stanford University
- Probabilistic Graphical Models 3: Learning: Stanford University
- Probabilistic Graphical Models 1: Representation: Stanford University
- Combinatorics and Probability: University of California San Diego