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Explore the Stochastic Process Course Catalog
- Status: Free Trial
University of Colorado Boulder
Skills you'll gain: Quantitative Research, Engineering Calculations, Mechanical Engineering, Numerical Analysis, Chemistry, Physics, Simulation and Simulation Software, Mathematical Modeling, Differential Equations
- Status: NewStatus: Free Trial
Birla Institute of Technology & Science, Pilani
Skills you'll gain: Data Analysis, Statistical Analysis, Analytics, Statistical Modeling, Predictive Modeling, Applied Mathematics, Data Visualization
- Status: Free Trial
University of California, Santa Cruz
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Advanced Analytics, Statistical Modeling, R (Software), Statistical Analysis, Statistical Inference, Data Analysis, Mathematical Modeling, Probability Distribution
- Status: Free Trial
Illinois Tech
Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Modeling, Statistical Software, Statistical Programming, Statistical Methods, Regression Analysis, Statistical Inference, R Programming, Numerical Analysis, Sampling (Statistics), Markov Model, Probability, Simulations, Probability Distribution
- Status: Preview
Johns Hopkins University
Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis
- Status: Free Trial
University of Colorado System
Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Global Positioning Systems, Mathematical Modeling, Applied Mathematics, Computational Thinking, Engineering Analysis, Algorithms, Computer Programming Tools
- Status: Preview
Carnegie Mellon University
Skills you'll gain: Mechanical Engineering, Chemical Engineering, Engineering, Materials science, Chemistry, Physics, Molecular, Cellular, and Microbiology, Mathematical Modeling, Physical Science, Biology
Coursera Project Network
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
- Status: Free Trial
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics
- Status: Preview
University of Leeds
Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, R (Software), Data Collection, Statistical Inference, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Data Visualization Software
- Status: Free Trial
University of Minnesota
Skills you'll gain: Simulations, Probability Distribution, Probability, Statistics, Business Mathematics, Microsoft Excel, Operations Research, Complex Problem Solving, Business Modeling, Risk Modeling, Financial Modeling, Data Modeling, Strategic Thinking, Analysis, Statistical Analysis
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, R Programming, Probability, Predictive Modeling, Probability Distribution
In summary, here are 10 of our most popular stochastic process courses
- Quantum Mechanics: University of Colorado Boulder
- Probability and Statistics: Birla Institute of Technology & Science, Pilani
- Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
- Bayesian Computational Statistics: Illinois Tech
- Introduction to Uncertainty Quantification: Johns Hopkins University
- Particle Filters (and Navigation): University of Colorado System
- Statistical Thermodynamics: Molecules to Machines: Carnegie Mellon University
- Using probability distributions for real world problems in R: Coursera Project Network
- Introduction to Probability and Data with R: Duke University
- Statistical Methods: University of Leeds