Introduction to Monte Carlo Methods

Online Course

Udemy
Introduction to Monte Carlo Methods

What is the course about?

Introduction to Monte Carlo Methods
The course Introduction to Monte Carlo Methods is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Statistical Computation, MCMC and Bayesian Statistics

Course description
  • Introduction to Monte Carlo Methods
  • Apply MCMC to Statistical Modeling
  • Greater understanding of statistical methods for simulation
  • How to write code in R or Python
  • How to perform nonparametric bootstrap
  • Apply optimization techniques to solve numerical and combinatorial problems
  • You should have some experience with R or Python
  • This course is ideally meant for students in a graduate degree program (i.e. math, statistics, electrical engineering)
  • If you don’t have a solid background with statistics, you should at least be willing to learn
  • You should have a basic understanding of mathematical statistics and desire to apply Monte Carlo methods
  • 5 hours on-demand video
  • 1 article
  • 30 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Jonathan Navarrete

Prerequisites & Facts

Introduction to Monte Carlo Methods

Course Topic

Health and Safety, Social Sciences

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Introduction to Monte Carlo Methods

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Introduction to Monte Carlo Methods
provided by Udemy

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School: Udemy
Topic: Bayesian Statistics, Math, Teaching & Academics