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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Stochastic motion is the motion of particles like that of ink in water. As opposed to the movement of celestial objects which can be calculated, this motion cannot be predicted. The Stochastic Processes: Data Analysis and Computer Simulation certification course aim to introduce candidates to stochastic processes and how to conduct data analysis on them.

Students will first learn the fundamental theories governing stochastic processes in the training programme. Then, using Jupyter (iPython) notebook, they will learn how to do numerical simulations and perform them. They will analyse the simulation data as well. The six-week-long Stochastic Processes online course in Physics is made for students interested in thermal motion and particle motion.

Faculty from the reputed Kyoto university in Japan teaches this course on Stochastic Processes: Data Analysis and Computer Simulation training by edX. Throughout this course, candidates will acquire knowledge of stochastic processes and programming. This online programme is completely free of cost. edX also offers a verified certificate upon course completion.

The Highlights

Course by Kyoto University
Expert faculty
Online course
Verified and shareable certificate
Self-paced course
English transcripts available
Free enrolment for all
Six-week duration

Programme Offerings

Free entry
Online Course
Certificate by edX and Kyoto University
Shareable Certificate
Special enrollment options for teams
Intermediate-level of learning
English video transcripts
Two to three hours of study per week

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 3867	yes	Kyoto University

The Stochastic Processes: Data Analysis and Computer Simulation certification fee are entirely waived off, as edX is a non-profit organisation. But to get the verified certificate, candidates have to pay a specific amount, and its details are mentioned below.

Stochastic Processes: Data Analysis and Computer Simulation course fee structure

Course Title	Fee in INR
Stochastic Processes: Data Analysis and Computer Simulation Course	Free
Stochastic Processes: Data Analysis and Computer Simulation - Certification Fee	Rs. 3,688

Eligibility Criteria

Candidates who wish to enrol for the Stochastic Processes programme by edX must have knowledge of linear algebra and differential and integral calculus at a second-year undergraduate level.

What you will learn

Knowledge of PythonKnowledge of physics

Candidates will have in-depth knowledge of the following after completion of the Stochastic Processes: Data Analysis and Computer Simulation certification syllabus:

Fundamental theories and concepts of stochastic processes
Basics of programming with Python
Simulation methods of a Brownian particle
Applications and analysis of financial data

Who it is for

Data Analyst

Those who want to know as data analysts so that they can simulate and analyze stochastic processes, then they may opt for admission.

Admission Details

To take admission in the Stochastic Processes: Data Analysis and Computer Simulation classes, head to the official edX website by following the below-given link: https://www.edx.org/course/stochastic-processes-data-analysis-and-computer-si.
You will see the options to “Enrol Now,” “Sign in,” and “Register”. Click on any one option.
This will open the registration page, where you have to create an edX account or link your accounts on Google, Apple, Microsoft, or Facebook to edX.
After registration, your account set-up will be complete, and you can join the course.

Application Details

The Stochastic Processes course by edX does not have any registration or application form. All you have to do to enroll in the course is create an edX account or log in to your existing account.

The Syllabus

Making graphs with matplotlib
Simulating a damped harmonic oscillator
Using Python, iPython, and Jupyter notebook
The Euler method for numerical integration

Generating random numbers with Gaussian/Binomial/Poisson distributions
Random walk
Stochastic variable and distribution functions
The central limiting theorem

Brownian motion and the Langevin equation
Basic knowledge of Stochastic process
The linear response theory and the Green-Kubo formula

Simple Python code to simulate Brownian motion
Random force in the Langevin equation
Simulations with on-the-fly animation

Interacting Brownian particles
Mean square displacement and diffusion constant
Distribution and time correlation

A Stochastic Dealer Model I
A Stochastic Dealer Model III
Time variations and distributions of real-world processes
A Stochastic Dealer Model II

Instructors

Kyoto University Frequently Asked Questions (FAQ's)

1: Are there any prerequisites for this edX online course?

Candidates must have undergraduate-level knowledge of linear algebra, differential calculus, and integral calculus to enroll in this course.

2: For how long does this online certification training last?

Candidates will have to dedicate six weeks for the Stochastic Processes online training.

3: Can I avail of financial aid for the Stochastic Processes: Data Analysis and Computer Simulation online course?

The course is available for free, and everyone can enrol for it without the need for financial aid.

4: Are there any special offers and prices for team enrollment?

edX offers courses for the training of employees. To learn more about group enrolment, visit this link: https://business.edx.org/?lead_source=edX+Course+Page&utm_campaign=B2B+Container&utm_source=Referral.

5: Which institution has created the Stochastic Processes course?

The University of Kyoto in Japan has created the Stochastic Processes: Data Analysis and Computer Simulation course.