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Solve real-world problems using C++ code and detailed explanations.
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Cover a broad range of topics such as arrays, trees, dynamic programming, and graphs.
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Gain the expertise needed to solve problems commonly asked in coding interviews.
This course offers a comprehensive guide to tackling the top 100 Leetcode coding interview problems in C++. Designed for aspiring software engineers, it begins with essential concepts like time and space complexity analysis, ensuring you understand how to measure algorithm efficiency using Big O notation. As you progress, you'll dive deep into C++ implementations of fundamental data structures such as arrays, linked lists, and hash tables, while solving problems that challenge your problem-solving abilities.
Covering a wide range of topics, from binary search and recursion to dynamic programming and greedy algorithms, the course builds on each concept progressively. Each section presents problems categorized by difficulty, allowing you to master key techniques at your own pace. Through step-by-step explanations, C++ code walkthroughs, and hands-on practice, you will gain the expertise to approach coding interviews with confidence.
By the end, you'll have solved a broad spectrum of algorithmic challenges, gained a deep understanding of core programming concepts, and developed efficient problem-solving strategies that will help you excel in coding interviews for top tech companies like Google, Facebook, and Amazon.
This course is ideal for software engineering candidates, computer science students, and developers preparing for coding interviews at tech giants such as Google, Facebook, and Amazon. If you are familiar with basic programming concepts and C++, but need structured guidance on solving coding problems for interviews, this course will provide the tools and techniques you need. A solid understanding of algorithms and data structures is recommended, although beginners with some programming experience can also benefit from the course.
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Analyze algorithms' time and space complexity using Big O notation.
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Solve a variety of Leetcode problems with C++ efficiently.
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Implement core data structures like arrays, linked lists, trees, and hash tables in C++.
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Master algorithmic techniques such as dynamic programming, recursion, and greedy algorithms.
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Apply binary search and sliding window techniques to optimize solutions.
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Solve advanced graph and bit manipulation problems using C++.