Data Structures & Algorithms, Level-up for Coding Interviews
Why take this course?
🎉 Master Data Structures & Algorithms for Coding Interviews! 🚀
Welcome to "Data Structures & Algorithms, Level-up" – your ultimate guide to conquering coding interviews with confidence! Say goodbye to the frustration of feeling "stuck" on coding problems. With this comprehensive course, you'll not only understand complex data structures and algorithms but also master problem-solving techniques that will set you apart in your interviews.
🎓 Course Instructor: Prateek Narang 👨💻 Prateek is a software engineer at Google, with extensive experience in mentoring thousands of students towards successful programming careers. His teaching style is straightforward, focused, and effective – just what you need to level up your skills!
Course Highlights:
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Extensive Video Content: Dive into over 25 hours of interactive video lessons that cover all the essential concepts in a clear and concise manner.
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Real-World Practice: Test your skills with dozens of coding exercises, each designed to reinforce the concepts learned through video content.
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Step-by-Step Problem Solving: Every problem includes a discussion starting from the brute force approach, moving on to optimizations, and culminating in a hands-on coding video in C++.
Key Topics Covered:
Data Structures:
- Arrays & Strings
- Vectors & Matrices
- Hashing (Unordered Maps, Maps, Sets)
- Stacks and Queues
- Linked Lists
- Binary Trees, Binary Search Trees, Heaps
- Graphs, Tries
Algorithms:
- Brute Force & Backtracking
- Sliding Window Algorithms
- Sorting, Searching, Binary Search Techniques
- Dynamic Programming Fundamentals
- Important Graph Algorithms (BFS, DFS, Shortest Paths)
Why Choose This Course?
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Tailored for All Levels: Whether you're a beginner or an advanced programmer, this course is designed to cater to your unique learning needs.
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Versatile Coding Practice: Although the exercises are primarily in C++, this course is suitable for programmers with experience in C++/Java/Python/JavaScript, provided you have a fundamental understanding of data structures.
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Depth & Breadth Coverage: The course offers an in-depth exploration of topics, ensuring that you're not just scratching the surface but truly mastering each concept.
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Comprehensive Learning: From sorting & searching algorithms to advanced topics like Dynamic Programming and Graphs, we cover it all, starting from the basics.
Special Offer!
For a limited time, you can access this high-quality course at a fraction of its original cost. Don't miss out on this opportunity to elevate your programming skills and excel in coding interviews with confidence.
📅 Sign up today and join the community of successful developers who have mastered Data Structures & Algorithms through "Data Structures & Algorithms, Level-up"! Let's embark on this learning journey together. See you inside the course! 🎓✨
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Comidoc Review
Our Verdict
This Data Structures & Algorithms course is a comprehensive guide to help you level up your coding interview game, featuring 150+ challenges. The engaging teaching style focuses on problem-solving strategies and space-time complexity analysis. While exercise explanations are lacking and beginners may struggle with the fast pace, it's an excellent resource for those looking to improve or refresh their skills.
What We Liked
- Covers a wide range of data structures & algorithms, with 150+ carefully curated problems to practice
- Helps improve problem-solving skills by optimizing brute force solutions, focusing on space-time complexity analysis
- Instructor explains concepts clearly and encourages students to think about problem-solving approaches
- Includes a variety of topics like Sliding Window, Hashing, Maps & Sets, Dynamic Programming, Graphs and more
Potential Drawbacks
- Explanations for exercise answers are scarce; source code available on GitHub lacks explanations
- Code submitter on Udemy is small and can't be zoomed in, leading to submission readability issues
- May not be suitable for beginners as it doesn't cover basic concepts thoroughly
- Could benefit from regular updates with more practice questions to maintain freshness