Getting Digital

Python, Matrices, and Linear Algebra for Data Science and ML

Develop essential mathematics skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of mathematics
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry StandardsPython
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of mathematics
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in mathematics
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

Python, Matrices, and Linear Algebra for Data Science and Machine LearningCourse DescriptionThis course introduces students to essential concepts of linear algebra and python that are necessary as a foundation for learning concepts in data science and machine learning. The emphasis has been on creating lectures in a format that provides both geometrical intuitions and computational implementation of all the important concepts in linear algebra. Additionally, all the covered concepts are implemented and discussed in the python programming context.

The following topics will be covered:1. Introduction to Python2. Vector and Matrices in Data Science and Machine Learning3.

Vector and Matrices Operations4. Computing Eigenvalues5. Computing Singular Values6.

Matrix Operations in Machine Learning Algorithm7. Python Data Science and Machine Learning LibrariesWho this course is for:Students who want to learn linear algebra and python programming conceptsStudents who want to develop foundations in linear algebra for Data Science, Machine Learning, and Deep Learning domainsAnyone who is interested in learning python and wants to have a conceptual understanding of linear algebra concepts. Data scientists and machine learning students who want to review their basics in the linear algebra domainAnyone who wants to learn Python for data science, machine learning, and AI domainThis course is taught by professor Rahul Rai who joined the Department of Automotive Engineering in 2025 as Dean's Distinguished Professor in the Clemson University International Centre for Automotive Research (CU-ICAR).

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Science & Academia

Topics Covered

MathematicsPythonData Science

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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