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Learn to solve 130+ Leetcode problems with Python, focusing on real-time implementation
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Gain in-depth knowledge of DSA and optimize algorithms for time and space complexity
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Follow a hands-on learning approach with code samples and practical coding demonstrations
This course offers a comprehensive guide to mastering Data Structures and Algorithms (DSA) with Python, focusing on solving over 130 Leetcode problems often asked in MAANG interviews. Starting with the basics—arrays, linked lists, stacks, queues, and trees—you will progress to advanced topics like dynamic programming, graphs, and heaps. Each problem is tackled step by step through live coding sessions, allowing you to understand the thought process behind the solution.
You’ll also learn how to analyze time and space complexity, an essential skill for optimizing solutions in coding interviews. The course covers multiple problem-solving techniques such as sliding window, two-pointer, binary search, recursion, and dynamic programming. Live coding demonstrations ensure you gain practical, real-time experience while optimizing algorithms.
By the end of the course, you’ll be equipped to solve coding challenges with confidence, armed with a solid understanding of algorithms and data structures. The course is designed for learners of all levels, offering both foundational concepts and advanced strategies to tackle coding interviews with ease.
This course is ideal for individuals preparing for coding interviews at top tech companies like MAANG. Whether you are a beginner or looking to sharpen your skills, this course offers a comprehensive path to mastering DSA concepts, problem-solving strategies, and Leetcode challenges. A basic understanding of Python programming is recommended, but even if you are new to DSA, this course will guide you through the fundamentals.
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Master core DSA concepts using Python for coding interviews
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Solve the top 130 Leetcode problems commonly asked by MAANG
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Understand time and space complexity and optimize solutions
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Implement algorithms live and troubleshoot in real-time
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Apply advanced problem-solving techniques in coding challenges
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Gain insights into interview-specific problem-solving approaches