Your ultimate guide to algorithms for coding interviews in C#. You’ll learn several must-know algorithms and test your skills with real-world problems from top companies.

Intermediate

132 Lessons

14h

Certificate of Completion

Your ultimate guide to algorithms for coding interviews in C#. You’ll learn several must-know algorithms and test your skills with real-world problems from top companies.

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Explanations

This course includes

113 Playgrounds

42 Challenges

17 Quizzes

This course includes

113 Playgrounds

42 Challenges

17 Quizzes

Course Overview

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...

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

What You'll Learn

Preparation for technical interviews at tech companies

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Course Content

1.

Introduction

This chapter covers essential algorithms and data structures for coding interviews in C#.

2.

Algorithmic Paradigms

This chapter explores various algorithmic strategies, including brute force, greedy, divide and conquer, and dynamic programming.

3.

Asymptotic Analysis

This chapter focuses on algorithm efficiency through time complexity analysis and asymptotic notation.

Comparing AlgorithmsExample: Measuring Time Complexity—Single LoopExample: Measuring Time Complexity—Nested LoopIntroduction to Asymptotic Analysis and Big OOther Common Asymptotic Notations and Why Big O Trumps ThemUseful FormulasCommon Complexity ScenariosChallenge: Big O of a Nested Loop with AdditionSolution: Big O of a Nested Loop with AdditionChallenge: Big O of a Nested Loop with SubtractionSolution: Big O of a Nested Loop with SubtractionChallenge: Big O of a Nested Loop with MultiplicationSolution: Big O of a Nested Loop with MultiplicationChallenge: Nested Loop with Multiplication (Basic)Solution: Nested Loop with Multiplication (Basic)Challenge: Nested Loop with Multiplication (Intermediate)Solution: Nested Loop with Multiplication (Intermediate)Challenge: Nested Loop with Multiplication (Advanced)Solution: Nested Loop with Multiplication (Advanced)Challenge: Nested Loop with Multiplication (Pro)Solution: Nested Loop with Multiplication (Pro)Quiz on Complexity

4.

Sorting and Searching

This chapter explores various sorting and searching algorithms, enhancing problem-solving skills through practical challenges.

Selection Sort, Bubble Sort, and Insertion SortMerge SortQuick SortOverview of Sorting AlgorithmsSearching AlgorithmsChallenge: Find Two Numbers That Add Up to nSolution: Find Two Numbers That Add Up to nChallenge: Search in a Rotated ArraySolution: Search in a Rotated ArrayChallenge: Group AnagramsSolution: Group AnagramsChallenge: Arrange a Binary ArraySolution: Arrange a Binary ArrayChallenge: Find the Maximum Product of Two Integers in an ArraySolution: Find the Maximum Product of Two Integers in an ArrayChallenge: Find Duplicates in an Array with No RepetitionSolution: Find Duplicates in an Array with No RepetitionChallenge: Search in a 2D ArraySolution: Search in a 2D ArrayChallenge: Search PositionSolution: Search PositionChallenge: The Dutch National Flag ProblemSolution: The Dutch National Flag ProblemQuiz on Sorting and Searching

5.

Graph Algorithms

This chapter explores graph algorithms, including traversal, connectivity, and cycle detection techniques.

Introduction to Graph Algorithms and ImplementationChallenge: Implement Breadth-First Graph TraversalSolution: Breadth-First Graph TraversalChallenge: Implement Depth-First Graph TraversalSolution: Depth-First Graph TraversalChallenge: Calculate the Number of Nodes in a Graph LevelSolution: Calculate the Number of Nodes in a Graph LevelChallenge: Transpose a GraphSolution: Transpose a GraphChallenge: Find All Paths Between Two NodesSolution: Find All Paths Between Two NodesChallenge: Check If a Graph Is Strongly ConnectedSolution: Check If a Graph Is Strongly ConnectedChallenge: Find All Connected Components in a GraphSolution: Find All Connected Components in a GraphChallenge: Remove an EdgeSolution: Remove an EdgeChallenge: Detect a Cycle in a GraphSolution: Detect a Cycle in a GraphQuiz on Graph Algorithms

6.

Greedy Algorithms

12 Lessons

This chapter explores greedy algorithms through practical challenges and solutions for optimization.

7.

Dynamic Programming

25 Lessons

This chapter explores dynamic programming techniques through various algorithmic challenges and solutions.

8.

Divide and Conquer

21 Lessons

This chapter explores efficient algorithms using divide-and-conquer techniques for various computational challenges.

9.

Conclusion

2 Lessons

This chapter wraps up the course and provides suggestions to enhance technical interview skills through continuous learning.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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