Grokking the Coding Interview Patterns in C#

The ultimate guide to coding interviews in C#, developed by FAANG engineers. Master essential patterns, tackle tough questions, and prep faster for interviews at top tech companies.

Intermediate

853 Lessons

85h

Certificate of Completion

The ultimate guide to coding interviews in C#, developed by FAANG engineers. Master essential patterns, tackle tough questions, and prep faster for interviews at top tech companies.

AI-POWERED

Code Feedback

Mock Interview

Explanations

AI-POWERED

Code Feedback

Mock Interview

This course includes

490 Playgrounds

442 Challenges

442 Quizzes

This course includes

490 Playgrounds

442 Challenges

442 Quizzes

Course Overview

Preparing for a coding interview can seem overwhelming, with thousands of potential questions to consider. However, with a strategic approach, your coding interview prep can be completed in just a few weeks. Instead of endlessly drilling practice problems, focus on learning coding interview patterns for more efficient preparation. This course teaches you the underlying patterns behind common coding interview questions. By mastering these essential patterns, you’ll be able to tackle any problem effectively ...Show More

What You'll Learn

An understanding of essential patterns behind common coding interview questions—without having to drill endless problem sets

Identifying the underlying pattern of each interview question by assessing the problem statement (and learning the tricks required to solve it)

Practicing your skills in a hands-on, setup-free coding environment

Evaluating the tradeoffs between time and space complexity in different solutions efficiently

Developing a flexible conceptual framework for solving any question by connecting problem characteristics, solution techniques, and coding design patterns

What You'll Learn

An understanding of essential patterns behind common coding interview questions—without having to drill endless problem sets

Course Content

Getting Started

Get familiar with mastering coding patterns to excel in challenging coding interviews.

Course Overview

Who Should Take This Course

Two Pointers

Grasp the fundamentals of solving coding problems using the two-pointer technique efficiently.

Introduction to Two Pointers

Valid Palindrome Solution: Valid Palindrome

3Sum Solution: 3Sum

Remove Nth Node from End of List Solution: Remove Nth Node from End of List

Sort Colors Solution: Sort Colors

Reverse Words in a String Solution: Reverse Words in a String Valid Word Abbreviation Solution: Valid Word Abbreviation Strobogrammatic Number Solution: Strobogrammatic Number Minimum Number of Moves to Make Palindrome Solution: Minimum Number of Moves to Make Palindrome Next Palindrome Using Same Digits Solution: Next Palindrome Using Same Digits Lowest Common Ancestor of a Binary Tree III Solution: Lowest Common Ancestor of a Binary Tree III Count Pairs Whose Sum is Less than Target Solution: Count Pairs Whose Sum is Less than Target Count Subarrays With Fixed Bounds Solution: Count Subarrays With Fixed Bounds Get the Maximum Score Solution: Get the Maximum Score Find the Lexicographically Largest String From Box II Solution: Find the Lexicographically Largest String From Box II Create Maximum Number Solution: Create Maximum Number Append Characters to String to Make Subsequence Solution: Append Characters to String to Make Subsequence Squares of a Sorted Array Solution: Squares of a Sorted Array Reverse String Solution: Reverse String

Valid Palindrome II

Fast and Slow Pointers

Work your way through the fast and slow pointers method to identify cycles and solve linked list problems.

Sliding Window

Grasp the fundamentals of the sliding window technique for efficient data processing in arrays and strings.

Introduction to Sliding Window

Repeated DNA Sequences Solution: Repeated DNA Sequences

Sliding Window Maximum Solution: Sliding Window Maximum

Minimum Window Subsequence Solution: Minimum Window Subsequence

Longest Repeating Character Replacement Solution: Longest Repeating Character Replacement

Minimum Window Substring Solution: Minimum Window Substring

Longest Substring without Repeating Characters Solution: Longest Substring without Repeating Characters

Minimum Size Subarray Sum Solution: Minimum Size Subarray Sum Maximum Average Subarray I Solution: Maximum Average Subarray I Diet Plan Performance Solution: Diet Plan Performance Fruit Into Baskets Solution: Fruit Into Baskets Contains Duplicate II Solution: Contains Duplicate II Frequency of the Most Frequent Element Solution: Frequency of the Most Frequent Element Subarrays with K Different Integers Solution: Subarrays with K Different Integers Count Subarrays With Score Less Than K Solution: Count Subarrays With Score Less Than K Count Substrings With K-Frequency Characters II Solution: Count Substrings With K-Frequency Characters II

Intervals

Map out the steps for merging and inserting intervals, intersections, employee free time, and task scheduling.

Introduction to Intervals

Merge Intervals Solution: Merge Intervals

Insert Interval Solution: Insert Interval

Interval List Intersections Solution: Interval List Intersections

Employee Free Time Solution: Employee Free Time Count Days Without Meetings Solution: Count Days Without Meetings Remove Covered Intervals Solution: Remove Covered Intervals Car Pooling Solution: Car Pooling Data Stream as Disjoint Intervals Solution: Data Stream as Disjoint Intervals

Meeting Rooms II

In-Place Manipulation of a Linked List

26 Lessons

Focus on efficient in-place linked list manipulations for restructuring, reversing, and swapping nodes with O(n) time and O(1) space complexities.

Heaps

25 Lessons

Master the heaps pattern for efficient data processing and solving median, schedule, and interval problems.

K-way merge

15 Lessons

Step through merging techniques using the K-way merge algorithm for optimized data integration.

Top K Elements

37 Lessons

Discover techniques to efficiently identify top k elements using heaps in varied scenarios.

10.

Modified Binary Search

34 Lessons

Master the steps to efficiently apply modified binary search in various complex scenarios.

11.

Subsets

14 Lessons

Enhance your skills in solving subsets, permutations, and combinations problems using C#.

12.

Greedy Techniques

31 Lessons

Solve problems in optimization using greedy algorithms for efficient, real-world solutions.

13.

Backtracking

33 Lessons

Follow the process of using backtracking to solve complex problems efficiently, such as N-Queens, Word Search, and Sudoku Solver.

14.

Dynamic Programming

40 Lessons

Practice using dynamic programming to efficiently solve optimization problems by leveraging subproblem solutions.

15.

Cyclic Sort

12 Lessons

Break down and optimize sorting and missing number problems using cyclic sort techniques.

16.

Topological Sort

18 Lessons

Discover the logic behind topological sorting, compilation order, alien dictionaries, course schedules, matrix construction, paths, and recipe dependencies.

17.

Sort and Search

31 Lessons

Solve problems by organizing data through sorting and applying binary search, two-pointer, and sliding window for efficient solutions.

18.

Matrices

37 Lessons

Examine matrix operations, including traversal methods, transformations, and problem-solving in image processing and data analysis.

19.

Stacks

28 Lessons

Apply your skills to implement efficient stack-based solutions for various coding challenges.

20.

Graphs

31 Lessons

Explore various graph types, their applications, and efficient algorithms for solving problems.

21.

Tree Depth-First Search

35 Lessons

Follow the process of solving various binary tree problems using depth-first search and traversal methods.

22.

Tree Breadth-First Search

24 Lessons

Master tree traversal techniques, utilizing breadth-first searches for optimized node exploration and connectivity.

23.

Trie

30 Lessons

Step through implementing and utilizing trie structures for efficient string operations and searches.

24.

Hash Maps

40 Lessons

Get started with understanding and implementing hash maps, their design, and practical applications in coding challenges.

25.

Knowing What to Track

32 Lessons

Explore techniques for tracking data occurrences to solve complex coding problems in C#.

26.

Union Find

28 Lessons

Apply your skills to using the union-find algorithm for various graph and connectivity problems.

27.

Custom Data Structures

32 Lessons

Deepen your knowledge of designing efficient custom data structures for complex problem-solving.

28.

Bitwise Manipulation

32 Lessons

Focus on bitwise manipulation for practical applications like cryptography, image processing, and unique element identification.

29.

Math and Geometry

37 Lessons

Explore mathematical and geometric coding challenges, focusing on efficient problem-solving techniques.

30.

Challenge Yourself

40 Lessons

Test your understanding of various coding problems to improve interview readiness.

31.

Conclusion

1 Lesson

Get familiar with next steps to enhance coding interview preparation and seek support.

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