HomeCoursesGrokking the Coding Interview Patterns in C#
4.9

Intermediate

85h

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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.

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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 just by analyzing the problem statement. The pattern-based approach, developed by FAANG hiring managers, prepares you for interviews at major tech companies like Apple, Google, Meta, Microsoft, and Amazon. Soon, you’ll have the skills needed to solve even the toughest questions, excel in the coding interview, and confidently advance your career. This course is available in Python, C++, Java, JavaScript, and Go, with more languages coming soon!
Preparing for a coding interview can seem overwhelming, with thousands of potential questions to consider. However, with a strat...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
An understanding of essential patterns behind common coding interview questions—without having to drill endless problem sets

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Learning Roadmap

3.

Sliding Window

Break down the sliding window technique to solve computational problems with optimized efficiency.

4.

Intervals

Solve problems in merging intervals, inserting and finding intersections of intervals, scheduler tasks, and determining employee free time.

5.

In-Place Manipulation of a Linked List

Tackle in-place linked list manipulations for efficient and memory-optimized operations.

6.

Two Heaps

Master the steps to optimize dynamic data processing and decision-making using heaps.

7.

K-way Merge

Learn how to use k-way merge for efficient data merging and finding k-th small elements.

8.

Top K Elements

Walk through the top k elements pattern and learn efficient selection using heaps.

9.

Modified Binary Search

Break apart modified binary search adaptations and solutions for diverse search problems.

10.

Subsets

Grasp the fundamentals of generating subsets, permutations, and combinations.

11.

Greedy Techniques

Dig into optimization problems with greedy algorithms through practical scenarios and solutions.

12.

Backtracking

Explore backtracking algorithm for solving complex problems like N-Queens, word search, binary tree paths, and Sudoku.

13.

Dynamic Programming

Build on dynamic programming concepts to efficiently solve complex optimization problems.

14.

Cyclic Sort

Step through cyclic sort concepts to efficiently handle various missing and corrupt number scenarios.

15.

Topological Sort

Unpack the core of topological sort, focusing on ordering dependencies and resolving compilation sequences efficiently.

16.

Sort and Search

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

17.

Matrices

Go hands-on with matrix operations, transformations, and efficient traversal techniques in coding.

18.

Stacks

Apply your skills to use stacks for various tasks, including calculators, string manipulation, and queuing.

19.

Graphs

Deepen your knowledge of graph theory, algorithms, practical solutions, and real-world applications.

20.

Tree Depth-First Search

Follow the process of exploring tree structures and implementing various binary tree problems.

21.

Tree Breadth-First Search

Piece together the parts of the Tree BFS traversal, focusing on various traversal methods.

22.

Trie

Step through efficient trie implementations to optimize search suggestions, word replacements, and common prefix finding.

23.

Hash Maps

Discover the logic behind implementing efficient hash maps and their applications in problem-solving.

24.

Knowing What to Track

Master the steps to efficiently track data, solve permutations, anagrams, and game design problems.

25.

Union Find

Enhance your skills in Union-Find to address diverse graph and connectivity problems.

26.

Custom Data Structures

Dig into creating and implementing custom data structures for solving specialized problems efficiently.

27.

Bitwise Manipulation

Explore bitwise operations for problem-solving and algorithm optimization.

28.

Math and Geometry

Explore math and geometry for problem-solving.

29.

Challenge Yourself

Test your understanding of various coding challenges focusing on algorithm efficiency.

Course Author:

Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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Frequently Asked Questions

Is C# good for coding interviews?

Yes, C# is suitable for coding interviews. It offers extensive features, including various data structures, strong typing, and powerful libraries, which are useful for solving various coding problems. Its object-oriented design and extensive .NET framework support make it a good choice for demonstrating problem-solving skills and writing efficient, maintainable code in technical interviews. Its similarity with Java makes it even more popular.

How to prepare for a C# Coding interview?

To prepare for a C# coding interview, focus on mastering core concepts such as data structures (arrays, lists, dictionaries), algorithms (sorting, searching), and object-oriented programming (classes, inheritance). Practice coding problems on platforms like Educative, LeetCode, and HackerRank to apply these concepts and become familiar with specific features in C# like LINQ and async/await.

Can I use C# in the Google interview?

Yes, you can use C# in a Google interview. Google allows a range of programming languages for coding challenges, and C# is a viable option, especially if you are comfortable with its syntax and features. Make sure to demonstrate your problem-solving skills and coding proficiency properly. Study and practice Grokking Coding Interview Patterns in the C# course by Educative.

How to crack coding interviews easily?

To crack coding interviews easily, focus on mastering the basics, practicing regularly, learning common patterns, doing mock interviews, reviewing and reflecting, and communicating clearly. Educative offers Grokking Coding Interview Patterns in six languages and AI mock interviewers to help you crack the coding interviews easily.

Can I practice coding in grokking the coding interview C# course?

Yes, you can practice coding in Grokking the Coding Interview with C#. Educative offers 228 coding problems categorized by patterns to help you prepare thoroughly.