This course is the first of a series that is designed for beginners who want to learn how to apply basic data science concepts to real-world problems. You might be a student who is considering pursuing a career in data science and wanting to learn more, or you might be a business professional who wants to apply some data science principles to your work. Or, you might simply be a curious, lifelong learner intrigued by the powerful tools that data science and math provides. Regardless of your motivation, we’ll provide you with the support and information you need to get started.
This course is part of the Linear Algebra for Data Science Using Python Specialization
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 1 of 4 in the
Beginner Level
Approx. 12 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessFlexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 1 of 4 in the
Beginner Level
Approx. 12 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
5 hours to complete
Introduction to Matrices and Linear Algebra
5 hours to complete
15 videos (Total 85 min), 6 readings, 3 quizzes
3 hours to complete
Using Linear Algebra Concepts in Python
3 hours to complete
7 videos (Total 46 min), 1 reading, 3 quizzes
2 hours to complete
Vector Equations and Systems of Linear Equations
2 hours to complete
7 videos (Total 47 min)
2 hours to complete
Real-World Applications of Vector Equations
2 hours to complete
4 videos (Total 24 min), 1 reading, 2 quizzes
About the Linear Algebra for Data Science Using Python Specialization

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