Focus on mastering data structures (arrays, linked lists, stacks, queues, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, greedy techniques). Practice solving problems on platforms like LeetCode, Codeforces, and HackerRank, and familiarize yourself with C++ STL. Understand time and space complexity and review common design patterns.
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Algorithms for Coding Interviews in C++
The ultimate guide to coding interviews in C++. Developed by FAANG engineers, this course offers 50+ coding challenges, detailed solutions, and interview strategies to get you interview-ready in hours.
5.0
153 Lessons
15h
Join 2.9 million developers at
Join 2.9 million developers at
Learning Roadmap
1.
Introduction
Introduction
Get familiar with essential algorithmic paradigms and interactive coding challenges in C++.
2.
Algorithmic Paradigms
Algorithmic Paradigms
Discover the logic behind brute force, greedy, divide and conquer, and dynamic programming.
3.
Introduction to Complexity Measures
Introduction to Complexity Measures
22 Lessons
22 Lessons
Examine the complexity measures of algorithms, focusing on time and space efficiency.
4.
Sorting & Searching
Sorting & Searching
26 Lessons
26 Lessons
Grasp the fundamentals of sorting algorithms, efficient searching techniques, and solving array-based challenges.
5.
Graph Algorithms
Graph Algorithms
22 Lessons
22 Lessons
Dig deeper into graph traversal, connectivity, bipartiteness, and topological sorting in C++.
6.
Greedy Algorithms
Greedy Algorithms
23 Lessons
23 Lessons
Focus on implementing and optimizing greedy algorithms for various problems in coding interviews.
7.
Dynamic Programming
Dynamic Programming
25 Lessons
25 Lessons
Master dynamic programming techniques with practical examples like Fibonacci, Knapsack, Staircase, and more.
8.
Divide and Conquer
Divide and Conquer
23 Lessons
23 Lessons
Learn how to use the divide and conquer strategy to solve algorithmic challenges efficiently.
9.
Appendix: Auxiliary Source Code
Appendix: Auxiliary Source Code
4 Lessons
4 Lessons
Get started with essential STL classes, linked lists, array functions, and graph data structures.
10.
Conclusion
Conclusion
2 Lessons
2 Lessons
Examine the importance of efficient algorithms and explore further learning resources for technical interviews.
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Developed by MAANG Engineers
ABOUT THIS COURSE
With algorithms being arguably the most common theme in coding interviews, having a firm grip on them can be the difference between being hired and not. After this comprehensive course, you'll have an in-depth understanding of different algorithm types and be equipped with a simple process for approaching complexity analysis.
As you progress, you’ll be exposed to the most important algorithms you're likely to encounter on an interview, work your way through over 50 interactive coding challenges, and review detailed solutions for each problem. You’ll walk away with the ability to build up to the optimal solution for addressing those tough coding interview questions head-on.
This course is the latest addition to our popular Interview Refresher series, which has helped developers land jobs in top companies including Google, Microsoft, and Apple.
ABOUT THE AUTHOR
Coderust
Coderust helps software developers like you ace your coding interviews. Our interactive interview-prep courses encourage you to get hands-on with the material and practice working through problems.
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Evan Dunbar
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Software Developer
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Front-end Developer
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Vinay Krishnaiah
Software Developer
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