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 individuals 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 walks 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 solid 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 the Complete Guide to Differential Equations Foundations for Data Science course:
- 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 details
Publisher: LinkedIn
Instructor: Megan Silvey
Language: English
Level of instruction: Intermediate
Number of lessons: 102
Duration of instruction: 13 hours and 25 minutes
Course headings
Course prerequisites
12 quizzes
Access on tablet and phone
Course images
Course introduction video
Video display
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
File size
920 MB
