Description

Complete Guide to Differential Equations Foundations for Data Science is a course designed to bridge the gap between advanced mathematics and practical applications of data science, published by LinkedIn Online Academy. This is a comprehensive course designed to bridge the gap between advanced mathematics and practical applications of data science. The course equips learners with a strong foundational understanding of differential equations, both ordinary and partial, and demonstrates how these concepts underpin real-world modeling, machine learning, signal processing, and scientific computing. With step-by-step explanations, visualizations, and Python-based implementations, this course helps students understand the theoretical depth and practical importance of differential equations in analyzing dynamic systems, predicting behavior, and optimizing algorithms in data-driven domains.

This course covers the fundamentals of differential equations with a focus on different orders and linearity, along with other common topics. With practical explanations and examples, instructor Megan Silvey guides you through the core concepts and skills needed to work with first-, second-, and higher-order differential equations—just like a traditional college-level course. Along the way, develop a thorough understanding of complex differential equations, such as nonlinear and partial differential equations. By the end of this course, you’ll also be ready to explore other key topics in differential equations, including series, systems, the Laplace transform, numerical methods, and boundary value problems.

What you will learn in Complete Guide to Differential Equations Foundations for Data Science:

• Differential equations
• First order differential equations
• First order differential equations
• Applications of second order differential equations
• Higher order differential equations
• Series
• Systems
• Laplace transform
• Nonlinear differential equations and systems
• Numerical methods
• Boundary value problems
• Partial differential equations
• And …

Course specifications

Publisher: LinkedIn
Instructors: Megan Silvey
Language: English
Level: Intermediate
Number of Lessons: 102
Duration: 13h 25m

Course topics

Complete Guide to Differential Equations Foundations for Data Science Prerequisites

12 quizzes
Access on tablet and phone

Pictures

Complete Guide to Differential Equations Foundations for Data Science introduction video

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

Download link

Download – 920 MB

File password (s): www.downloadly.ir

Size

920 MB