Linear Algebra for Data Science
4.013 hours1K learners
Explore advanced concepts and techniques critical for data analysis, data engineering, machine learning, game development, and more.
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What you'll learn
Upon completing this course, you will:
- study further vector spaces and bases;
- recognize special types of linear spaces;
- discover the tight connection between matrices and linear operators;
- understand popular matrix decomposition techniques in image processing and up-to-date recommendation systems.
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# 1
Apply knowledge into practice
You already know the theory. Now it's time to code like you do at work—in a professional IDE, with real project constraints, solving problems that actually matter. Welcome to software engineering as it should be.
# 2
Navigate complexity with surgical precision
Most developers waste months learning random concepts without seeing how they connect. Our interactive Knowledge Map fixes this. It shows exactly how every programming concept relates to others, helping you build a structured mental model of coding.
# 3
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Here's what top engineers do that others don't: they study other people's code obsessively. When you get stuck on Hyperskill, you can explore solutions published by other developers. See their exact code. Understand their approach. Learn their tricks.
# 4
Code review that actually makes you better
We stripped code review down to what actually matters: does your solution work? Have you handled the edge cases? Is there a cleaner way to write this? Hyperskill acts like a competent reviewer who actually tests your code. Not genius-level analysis, not architecture debates — just solid feedback on making your code better.
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Your peers think Hyperskill rocks
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Janek Kupper10 months ago
It's a hard track. Very theoretical and problems are challenging. More practical usage examples would be beneficial as is it is pretty abstract.
11 months ago
Very good for learning and practice linear algebra for data science.
1 year ago
To be honest, I wanted a challenge, and I got it. Please make it more interactive and add some comments and hints on the go. Some tasks are too hard, almost to the point of dropping out of the course. But keep your head up and shoulders straight!
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