Algorithms for Coding Interviews in C#

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.

AI-POWERED

Mock Interview

Explanations

AI-POWERED

Mock Interview

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...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

What You'll Learn

Preparation for technical interviews at tech companies

Course Content

Introduction

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

Who This Course Is For

Learning Outcomes

Algorithmic Paradigms

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

Asymptotic Analysis

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

Comparing Algorithms

Example: Measuring Time Complexity—Single Loop

Example: Measuring Time Complexity—Nested Loop

Introduction to Asymptotic Analysis and Big O

Other Common Asymptotic Notations and Why Big O Trumps Them

Useful Formulas

Common Complexity Scenarios

Challenge: Big O of a Nested Loop with Addition

Solution: Big O of a Nested Loop with Addition

Challenge: Big O of a Nested Loop with Subtraction

Solution: Big O of a Nested Loop with Subtraction

Challenge: Big O of a Nested Loop with Multiplication

Solution: Big O of a Nested Loop with Multiplication

Challenge: 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

Sorting and Searching

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

Selection Sort, Bubble Sort, and Insertion Sort

Merge Sort

Quick Sort

Overview of Sorting Algorithms

Searching Algorithms

Challenge: Find Two Numbers That Add Up to n

Solution: Find Two Numbers That Add Up to n

Challenge: Search in a Rotated Array

Solution: Search in a Rotated Array

Challenge: Group Anagrams

Solution: Group Anagrams

Challenge: Arrange a Binary Array

Solution: Arrange a Binary Array

Challenge: Find the Maximum Product of Two Integers in an Array

Solution: Find the Maximum Product of Two Integers in an Array

Challenge: Find Duplicates in an Array with No Repetition

Solution: Find Duplicates in an Array with No Repetition

Challenge: Search in a 2D Array

Solution: Search in a 2D Array

Challenge: Search Position

Solution: Search Position

Challenge: The Dutch National Flag Problem

Solution: The Dutch National Flag Problem

Quiz on Sorting and Searching

Graph Algorithms

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

Introduction to Graph Algorithms and Implementation

Challenge: Implement Breadth-First Graph Traversal

Solution: Breadth-First Graph Traversal

Challenge: Implement Depth-First Graph Traversal

Solution: Depth-First Graph Traversal

Challenge: Calculate the Number of Nodes in a Graph Level

Solution: Calculate the Number of Nodes in a Graph Level

Challenge: Transpose a Graph

Solution: Transpose a Graph

Challenge: Find All Paths Between Two Nodes

Solution: Find All Paths Between Two Nodes

Challenge: Check If a Graph Is Strongly Connected

Solution: Check If a Graph Is Strongly Connected

Challenge: Find All Connected Components in a Graph

Solution: Find All Connected Components in a Graph

Challenge: Remove an Edge

Solution: Remove an Edge

Challenge: Detect a Cycle in a Graph

Solution: Detect a Cycle in a Graph

Quiz on Graph Algorithms

Greedy Algorithms

12 Lessons

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

Dynamic Programming

25 Lessons

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

Divide and Conquer

21 Lessons

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

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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