Algorithms for Interviews
4.118 hours181 learners
Master technical job interviews by exploring basic algorithms. Discover the nuances that set similar algorithms apart and sharpen your problem-solving skills to ace common algorithmic challenges.
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What you'll learn
In today's job market, a solid understanding of algorithms and the ability to solve algorithmic problems are paramount for success in interviews. This course is designed to help you organize your knowledge, refresh your skills, and practice problem-solving, all while offering opportunities to delve deeper into each algorithm.
In this course, you will:
- Refresh your knowledge of algorithms and data structures;
- Discover new algorithms and nuances you may not have encountered before;
- Structure your understanding of algorithms for practical use;
- Learn how to approach typical interview tasks in algorithmic scenarios.
Upon completing this course, you'll be exceptionally well-prepared for algorithmic interviews.
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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
Copy the best. Then improve.
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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