# 4 Best Stochastic Processes Courses [2021 JULY]

After conducting in-depth research, our team of global experts compiled this list of Best  Stochastic Process Courses, Classes, Tutorials, Training, and Certification programs available online for 2021. This list includes both paid and free courses to help students learn and gain knowledge of stochastic processes and to apply solutions in realistic problems. Also, it is ideal for beginners, intermediates, as well as experts.

## 4 Best Stochastic Processes Courses [2021 JULY]

### 1. Stochastic Processes (Coursera)

This course will enable individuals to learn stochastic processes for applying in fields like economics, engineering, and the likes. Coursera covers both the aspects of learning, practical and theoretical to help students learn dynamical systems. You can take up the course at your pace and complete the assignments at your convenience. It is an added advantage if you know statistics, but the course will cover the basic concepts of quantitative finances and various stochastic models. Check out the compilation of Best Trigonometry Courses.

Key USPs –

– Learn different mathematical models and techniques for Stochastic processing

– Know the applications of stochastic processing

– Start learning online at your pace anytime

– Learn methods to use stochastic processes in finance, economics, and applied science fields

Duration: Self-paced

Rating: 4.5 out of 5

Review: Great course! The subject material was well covered and it gave me the tools to tackle more advanced stochastic, like population dynamics or quantitative finance. – MM

### 2. Stochastic Processes: Data Analysis and Computer Simulation (edx)

Kyoto University offers the Stochastic processes course on edx, and it covers the basics concepts to help you simulate and calculate predictions for non-deterministic motions. You will learn through numerical simulation and data analysis techniques to draw conclusions from dynamic data. The learning modules cover basic Python programming, numerical methods for calculations, Brownian motion, and application of stochastic processes in real world problems.

Key USPs –

– Basic Python programming on Jupyter notebook

– Random number generation with various mathematical models

– Application of stochastic process in financial data

– Official and verified certificate can be added at a nominal cost

Duration: 6 weeks

Rating: 4.5 out of 5

Review: A very high quality course. It covers physics, economy, python and a lot of mathematics.

### 3. Introduction to Stochastic Processes (MIT Open CourseWare)

MIT has opened a lot of its course offerings for individuals who want to learn it online. The introduction to Stochastic Processes is one such course that offers graduate-level learning. You need to know probability, linear algebra, and matrix to get started with this course. You get a plethora of assignments and downloadable course material to learn and practice throughout the course. There is also a list of reference book recommendations to help you gain in-depth knowledge. Once you are through the course, you will be able to apply the concepts of stochastic processes through various methods as per the parameters.

Key USPs –

– Learn from one of the most renowned institutes of the world

– Get graduate-level of learning experience by enrolling

– Understand the concepts of stochastic processing and its applications

Duration: Variable

Rating: 4.3 out of 5

### 4. Introduction to Stochastic Process I (Stanford Online)

Stanford Online has curated the course on Stochastic processes to help students understand the models and applications of stochastic systems. When you enroll for this course, it is advisable to know calculus principles, including probability, to make the learning curve for this course more manageable. The course instructor will walk you through various analysis processes that will help you apply stochastic modeling to real existing problems in the field of applied science.

Key USPs –

– Learn the concepts of stochastic processing and modeling

– Know which procedure to apply for particular real-world problems

– Learn various branching process and data analysis methods

– Know the advanced applications of the concepts of statistics and probability

Duration: Variable

Rating: 4.4 out of 5