Monte Carlo Methods Courses and Certifications

Data Science: Probability

64 ratings at edX

Learn probability theory -- essential for a data scientist -- using a case study on the financial crisis of 2007-2008.

• edX
• 8 weeks, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

Introduction to Uncertainty Quantification

10 ratings at Coursera

Master the fundamentals of Uncertainty Quantification through probability theory, uncertainty propagation, surrogate modeling, reliability analysis, and Bayesian methods for mathematical and engineering systems.

• Coursera
• 1 day 5 hours 57 minutes
• Self-Paced
• Paid Course

Random Processes

Master correlation functions, spectral analysis, and Monte Carlo simulation techniques for understanding and modeling random processes in engineering systems, with focus on practical applications and data analysis.

• Coursera
• 15 hours 3 minutes
• Self-Paced
• Paid Course

Supply Chain Optimization

58 ratings at Coursera

Explore optimization techniques for agile supply chains, including capacity and resource optimization, Monte Carlo simulations for risk mitigation, and practical Excel applications.

• Coursera
• 8 hours 4 minutes
• Self-Paced
• Paid Course

École normale supérieure

Statistical Mechanics: Algorithms and Computations

269 ratings at Coursera

Explore modern physics through computer programs, gaining deep insights into classical and quantum mechanics via algorithmic approaches and hands-on coding exercises.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Excel/VBA for Creative Problem Solving, Part 3 (Projects)

464 ratings at Coursera

Develop VBA skills through hands-on projects, from basic to advanced, including Monte Carlo simulation. Optional Grade Manager project for Honors designation.

• Coursera
• 16 hours 28 minutes
• Self-Paced
• Paid Course

Decision Making and Reinforcement Learning

24 ratings at Coursera

Explore sequential decision-making and reinforcement learning, covering utility theory, bandit problems, MDPs, POMDPs, Monte Carlo methods, and temporal difference learning. Gain practical skills through algorithms and examples.

• Coursera
• 1 day 23 hours 9 minutes
• Self-Paced
• Paid Course

Credential

Foundations of Probability and Statistics

351 ratings at Coursera

Master probability, statistics, and stochastic processes with direct applications to data science and AI through three comprehensive mathematical foundations.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Designing Larger Python Programs for Data Science

Learn to design complex Python programs for data science, covering top-down design, Monte Carlo simulations, and efficient code integration. Develop skills to handle large-scale projects and simulate real-world problems.

• Coursera
• 1 day 18 hours 12 minutes
• Self-Paced
• Paid Course

Math behind Moneyball

97 ratings at Coursera

Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy.

• Coursera
• 65 hours
• Self-Paced
• Paid Course

Modern Statistical Computing and Regression Modeling in R

Discover statistical computing with R, Excel, Tableau, and Jupyter Notebooks while mastering Monte Carlo methods and regression analysis through hands-on practice with real datasets.

• Coursera
• 11 hours 6 minutes
• Self-Paced
• Paid Course

Managing Uncertainty in Marketing Analytics

68 ratings at Coursera

Explore methods to incorporate uncertainty in marketing decisions, including Monte Carlo simulations and probability distributions, to anticipate outcomes and make informed choices.

• Coursera
• 11 hours 51 minutes
• Self-Paced
• Paid Course

Quantitative Finance & Algorithmic Trading in Python

2567 ratings at Udemy

Stock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo Simulations

• Udemy
• 18 hours 20 minutes
• Self-Paced
• Paid Course

Risk Models for Project Managers: Monte Carlo and Beyond

Explore quantitative risk modeling for project management, focusing on Monte Carlo simulations and other methods to analyze budget, schedule, and investment decisions.

• edX
• 5 weeks, 1-3 hours/week
• Self-Paced
• Free Online Course (Audit)

Credential

Project Risk Management: Effective Decision Making Strategies

Learn effective strategies for project risk management, including developing risk plans, using Monte Carlo simulations, and making strategic decisions to exploit opportunities and maximize value.

• edX
• 15 weeks, 1-3 hours/week
• Self-Paced
• $747.00
• 3 courses