Monte Carlo Simulations: Risk Analysis & Predictive Modeling
Published 4/2025
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Learn Monte Carlo methods for finance, data science, and engineering.
What you’ll learn
Understand the Fundamentals of Monte Carlo Methods
Apply Monte Carlo Simulations to Real-World Problems
Perform risk analysis, option pricing, and predictive modeling.
Master Advanced Monte Carlo Techniques
Develop Hands-On Monte Carlo Simulations Using Python & R
Requirements
Interest in Data-Driven Decision Making, This course is ideal for students, researchers, and professionals in finance, engineering, healthcare, and other fields where uncertainty modeling is useful.
Some Programming Experience (Recommended, but Not Required)
A Computer with Internet Access
Description
Who this course is for
Finance & Investment Professionals : Risk analysts, traders, and portfolio managers who want to model market uncertainty and optimize financial strategies.
Data Scientists & Analysts : Professionals working with predictive modeling, machine learning, or statistical analysis who want to enhance their toolkit with Monte Carlo methods.
Engineers & Researchers : Those in fields like aerospace, energy, and reliability engineering who need to simulate complex systems and assess uncertainties.
Students & Academics : University students and researchers in statistics, economics, physics, or computer science who want to explore stochastic modeling.
Healthcare & Epidemiology Professionals : Scientists and policymakers involved in disease modeling, medical risk assessment, or healthcare system optimization.
Anyone Curious About Probability & Simulations : If you love data-driven decision-making and want to learn a powerful method for modeling uncertainty, this course is for you.
Homepage
https://www.udemy.com/course/monte-carlo-simulations
