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Algorithms for Coding Interviews in C#

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.

Intermediate

132 Lessons

14h

Certificate of Completion

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.

AI-POWERED

Mock Interview

Explanations

AI-POWERED

Mock Interview

Explanations

This course includes

113 Playgrounds

42 Challenges

17 Quizzes

Course Overview

What You'll Learn

Course Content

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

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

Course Content

Introduction

2 Lessons

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

Who This Course Is For

Learning Outcomes

Algorithmic Paradigms

4 Lessons

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

Asymptotic Analysis

22 Lessons

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

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

24 Lessons

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

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

20 Lessons

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

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

Follow the process of designing and implementing greedy algorithms to solve optimization challenges.

Greedy Algorithms: A Deep Dive

Challenge: Counting Money

Solution: Counting Money

Challenge: Connecting n Pipes with Minimum Cost

Solution: Connecting n Pipes with Minimum Cost

Challenge: Find the Egyptian Fraction’s Denominators

Solution: Find the Egyptian Fraction

Challenge: Find the Minimum Platforms Required for a Station

Solution: Find the Minimum Platforms Required for a Station

Challenge: Find the Largest Number Possible

Solution: Find the Largest Number Possible

Quiz on Greedy Algorithms

Dynamic Programming

25 Lessons

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

Calculating Fibonacci Numbers

Introducing Dynamic Programming with Fibonacci Numbers

Memoizing Fibonacci Numbers

Tabulating Fibonacci Numbers

Challenge: The 0/1 Knapsack Problem

Solution: The 0/1 Knapsack Problem

Challenge: The Staircase Problem

Solution: The Staircase Problem

Challenge: The Partition Problem

Solution: The Partition Problem

Challenge: Longest Common Substring

Solution: Longest Common Substring

Challenge: Shortest Common Supersequence (SCS)

Solution: Shortest Common Supersequence (SCS)

Challenge: Longest Palindromic Subsequence

Solution: Longest Palindromic Subsequence

Challenge: The Coin Change Problem

Solution: The Coin Change Problem

Challenge: Egg Dropping Problem

Solution: Egg Dropping Problem

Challenge: Interleaving Strings

Solution: Interleaving Strings

Challenge: The Edit Distance Problem

Solution: The Edit Distance Problem

Quiz on Dynamic Programming

Divide and Conquer

21 Lessons

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

Introduction to Divide and Conquer With Binary Search

Pascal’s Triangle

Challenge: Euclidean Algorithm

Solution: Euclidean Algorithm

Challenge: Find the Peak Element

Solution: Find the Peak Element

Challenge: Maximum Sum Subarray of Size k

Solution: Maximum Sum Subarray of Size k

Challenge: Collect Coins in Minimum Steps

Solution: Collect Coins in Minimum Steps

Challenge: Find the Floor and Ceil of a Number in a Sorted Array

Solution: Find the Floor and Ceil of a Number in a Sorted Array

Challenge: Missing Number in a Sorted Array

Solution: Missing Number in a Sorted Array

Challenge: Find the Closest Number

Solution: Find the Closest Number

Challenge: Shuffle Integers

Solution: Shuffle Integers

Challenge: Inversion Count in an Array

Solution: Inversion Count in an Array

Quiz on Divide and Conquer

Conclusion

2 Lessons

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

Wrapping Up

Where to Go from Here

Course Author

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