Applied Mathematics Courses and Certifications

Zhejiang Institute of Communications

应用高等数学

掌握微积分、线性代数和MATLAB应用，培养数学建模思维，提升解决实际问题的能力，为理工类和经管类专业奠定坚实的数学基础。

• XuetangX
• Self-Paced
• Free Online Course

Qinghai University

化工应用数学

Master essential mathematical methods and techniques specifically applied to chemical engineering processes, from interpolation and numerical integration to differential equations and Laplace transforms.

• XuetangX
• Self-Paced
• Free Online Course

Applied Calculus with Python

46 ratings at Coursera

Develop essential calculus concepts and apply them to solve real-world challenges using Python, covering functions, derivatives, integrals, and their practical implementations.

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

Infectious Disease Modeling in Practice

15 ratings at Coursera

Explore practical applications of mathematical modeling for infectious diseases, covering model principles, data integration, and use cases for control strategies, transmission rate analysis, and forecasting.

• Coursera
• 4 hours 22 minutes
• Self-Paced
• Paid Course

Business Analytics with Excel: Intermediate to Advanced

Master advanced Excel optimization techniques including linear, integer, network, and nonlinear programming with VBA macros for sophisticated business decision-making and multi-objective analysis.

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

Career Certificate

Data Science Decisions in Time

Learn to make confident, data-driven decisions in streaming applications through four courses covering sequential decisions, hypothesis testing, information theory, and causal inference.

• Coursera
• 12 weeks, 15 hours/week
• Self-Paced
• Paid Course
• 4 courses

Differential Equations

2 ratings

This course focuses on the equations and techniques most useful in science and engineering, Differential equations.

• MIT OpenCourseWare
• 31 hours
• Self-Paced
• Free Video

Operations Research (4): Capstone Project

Embark on a capstone project applying mathematical optimization techniques to real-world business problems through hands-on OR study examples and methodology.

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

Complete neural signal processing and analysis: Zero to hero

1958 ratings at Udemy

Learn signal processing and statistics using brain electrical data with expert instruction and code challenges in MATLAB

• Udemy
• 1 day 22 hours 55 minutes
• Self-Paced
• Paid Course

Mathematics for Engineering

1137 ratings at Udemy

Comprehensive introduction to applied mathematics for engineering, covering number types, functions, calculus, complex numbers, and sequences, with practical applications and examples.

• Udemy
• 3 hours 37 minutes
• Self-Paced
• Free Online Course

Differential Equations Part III Systems of Equations

13 ratings at Coursera

Explore systems of linear equations and stability of autonomous systems in differential equations, building on calculus and matrix theory knowledge.

• Coursera
• 10 hours 25 minutes
• Self-Paced
• Paid Course

Differential Equations Part II Series Solutions

12 ratings at Coursera

Learn advanced techniques for solving differential equations, including series solutions, Frobenius method, and special functions like Bessel and Legendre polynomials.

• Coursera
• 14 hours 21 minutes
• Self-Paced
• Paid Course

Become a Differential Equations Master

1021 ratings at Udemy

Learn everything from Differential Equations, then test your knowledge with 680+ practice questions

• Udemy
• 23 hours 33 minutes
• Self-Paced
• Paid Course

Applied Math for Materials Science and Engineering

Master fundamental calculus, power series, and differential equations for materials science and engineering applications, building a strong mathematical foundation for physical science research.

• Coursera
• 7 hours 21 minutes
• Self-Paced
• Paid Course

Industrial Optimization: Models & Linear Programming

Explore deterministic models for industrial operations, focusing on linear programming formulation and solution techniques using software tools and algorithms.

• Coursera
• 11 hours 27 minutes
• Self-Paced
• Paid Course