HomeCoursesAlgorithms for Coding Interviews in C#

Intermediate

14h

Algorithms for Coding Interviews in C#
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The ultimate guide to coding interviews in C#. Developed by FAANG engineers, it covers over 50 interactive challenges and solutions, helping you get interview-ready in just a few hours.
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With algorithms being one of the most common themes in coding interviews, having a firm grip on them can be the difference between being hired or not. After completing this comprehensive course, you’ll have an in-depth understanding of different algorithm types in C# and be equipped with a simple process for approaching complexity analysis. As you progress, you’ll be exposed to the most important algorithms you’ll likely encounter in an interview. You’ll work through over 50 interactive coding challenges a...Show More
With algorithms being one of the most common themes in coding interviews, having a firm grip on them can be the difference betwe...Show More

WHAT YOU'LL LEARN

Preparation for technical interviews at tech companies
An understanding of how to write fast and efficient code in C#
Working knowledge of fundamental algorithms using C#
The ability to assess the effectiveness of an algorithm
Familiarity with commonly used data structures
Preparation for technical interviews at tech companies

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Content

1.

Introduction

2 Lessons

Break down key algorithmic paradigms, asymptotic analysis, and common technical interview problems.

2.

Algorithmic Paradigms

4 Lessons

Solve challenges with brute force, greedy algorithms, divide and conquer, and dynamic programming approaches.

3.

Asymptotic Analysis

22 Lessons

Examine asymptotic analysis, Big O notation, and time complexity through practical examples and challenges.

4.

Sorting and Searching

24 Lessons

Break down complex ideas of sorting and searching algorithms through challenges and solutions.

5.

Graph Algorithms

20 Lessons

Solve problems in graph algorithms, including BFS, DFS, cycle detection, and graph transposition.

7.

Dynamic Programming

25 Lessons

Build on dynamic programming concepts with optimized algorithms for problems like Fibonacci, Knapsack, and Coin Change.

8.

Divide and Conquer

21 Lessons

Break down divide-and-conquer strategies, including binary search, GCD, and subarray problems.

9.

Conclusion

2 Lessons

Discover the logic behind efficient algorithms, their paradigms, and continuous improvement.
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Course Author:

Developed by MAANG Engineers
Every Educative resource is designed by our team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who’ve shipped production code at scale and taught the theory behind it. The goal is to get you hands-on with the skills you need to stay ahead in today's constantly evolving tech landscape. No videos, no fluff — just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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