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Grokking the Coding Interview Patterns in Go

Grokking the Coding Interview Patterns in Go helps you prep faster with strategies developed by FAANG engineers. Learn essential patterns to confidently tackle interview questions from top companies.

5.0

1125 Lessons

17 Mock Interviews

85h

Updated 1 week ago

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LEARNING OBJECTIVES

Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets
Identify the underlying pattern of each interview question by assessing the problem statement (and learn the tricks required to solve it)
Practice your skills in a hands-on, setup-free coding environment
Learn to efficiently evaluate the tradeoffs between time and space complexity in different solutions
Develop a flexible conceptual framework for solving any question, by connecting problem characteristics, solution techniques, and coding design patterns

Why choose this course?

Learn 28 Non-negotiable Coding Patterns

Begin your journey with core coding patterns like Two Pointers, Binary Search, and Linked List manipulation. Each problem is a paired challenge and solution: first implement your own approach, then study a step-by-step optimal solution.

Master Advanced Algorithms and Data Structures

Level up with complex topics such as Dynamic Programming, Graphs, Tries, and Union Find. These advanced patterns often appear in the toughest interviews and will prepare you to approach difficult questions with confidence and clarity.

Mock Interviews for Every Coding Pattern

At the end of each chapter, take an AI-driven mock interview. Practice under real conditions and strengthen your ability to explain solutions clearly.

Put Your Skills to the Test

Wrap up your preparation in the Challenge Yourself section, where problems are presented without pattern labels. This sharpens your ability to recognize the right approach on your own, just like in a real interview.

Learning Roadmap

Two Pointers

Introduction to Two Pointers

Valid Palindrome

3Sum

med

Remove nth Node from End of List

med

Sort Colors

med

Reverse Words in a String

med

Valid Word Abbreviation

Valid Palindrome II

Lowest Common Ancestor of a Binary Tree III

med

Strobogrammatic Number

Minimum Number of Moves to Make Palindrome

hard

Next Palindrome Using Same Digits

hard

Count Subarrays With Fixed Bounds

hard

Find the Lexicographically Largest String From Box II

hard

Get the Maximum Score

hard

Create Maximum Number

hard

Append Characters to String to Make Subsequence

med

Squares of a Sorted Array

Reverse String

Intersection of Two Linked Lists

Remove Duplicates from Sorted Array

Reverse Vowels of a String

Is Subsequence

Merge Strings Alternately

Compare Version Numbers

med

Move Zeroes

med

Longest Subarray of 1's After Deleting One Element

med

Backspace String Compare

med

Next Greater Element III

med

Rotating the Box

med

Count the Number of Fair Pairs

med

Remove Duplicates from Sorted List II

med

Sum of Square Numbers

med

Fast and Slow Pointers

Master the steps to use fast and slow pointers for cycle detection and mid-point identification.

Introduction to Fast and Slow Pointers

Happy Number

Linked List Cycle

Middle of the Linked List

Circular Array Loop

med

Find The Duplicate Number

med

Palindrome Linked List

Linked List Cycle III

med

Linked List Cycle IV

med

Maximum Twin Sum of a Linked List

med

Split a Circular Linked List

med

Sliding Window

Intervals

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

In-Place Manipulation of a Linked List

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

Two Heaps

K-way Merge

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

Top K Elements

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

Modified Binary Search

10.

Subsets

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

11.

Greedy Techniques

12.

Backtracking

13.

Dynamic Programming

14.

Cyclic Sort

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

15.

Topological Sort

16.

Sort and Search

17.

Matrices

18.

Stacks

19.

Graphs

20.

Tree Depth-First Search

21.

Tree Breadth-First Search

22.

Trie

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

23.

Hash Maps

24.

Knowing What to Track

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

28.

Math and Geometry

29.

Challenge Yourself

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

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.

ABOUT THIS COURSE

With thousands of potential questions to account for, preparing for the coding interview can feel like an impossible challenge. Yet with a strategic approach, coding interview prep doesn’t have to take more than a few weeks. Stop drilling endless sets of practice problems, and prepare more efficiently by learning coding interview patterns. This course teaches you the underlying patterns behind common coding interview questions. By learning these essential patterns, you will be able to unpack and answer any problem the right way — just by assessing the problem statement. This approach was created by FAANG hiring managers to help you prepare for the typical rounds of interviews at major tech companies like Apple, Google, Meta, Microsoft, and Amazon. Before long, you will have the skills you need to unlock even the most challenging questions, grok the coding interview, and level up your career with confidence. This course is also available in JavaScript, C++, Java, and Python — with more coming soon!

Trusted by 3 million developers working at companies

These are high-quality courses. Trust me the price is worth it for the content quality. Educative came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks

Anthony Walker

@_webarchitect_

Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!

Evan Dunbar

ML Engineer

You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it.

Software Developer

Carlos Matias La Borde

I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site

Souvik Kundu

Front-end Developer

Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content.

Vinay Krishnaiah

Software Developer

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The platform adapts to your strengths & skills gaps as you go

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Get hands-on with in-demand skills

AI Code Mentor

Write better code with AI feedback, smart debugging, and "Ask AI"

MAANG+ Interview Prep

AI Mock Interviews simulate every technical loop at top companies

Free Resources

Frequently Asked Questions

Is Golang good for a coding interview?

Yes, Go (Golang) is good for coding interviews. Its syntax is straightforward to understand, lacking jargon in languages like Java. By avoiding features like inheritance, Go simplifies programming, helping new developers focus on core concepts and problem-solving without getting overwhelmed by complex language features. Its built-in concurrency support and strong performance further enhance its suitability for technical interviews.

How to prepare for a coding interview in Go?

To prepare for a coding interview in Go, focus on understanding Go’s key features and idioms, such as its straightforward syntax, built-in concurrency with goroutines, and handling of data structures. Practice solving problems on coding platforms like Educative, LeetCode, and HackerRank to get comfortable with common algorithms and data structures. Review Go-specific topics like slices, maps, and error handling.

What are the common patterns in DSA (data structures and algorithms)?

Common patterns in DSA include the two-pointer technique, sliding window, divide and conquer, dynamic programming, greedy algorithms, backtracking, depth-first search (DFS), breadth-first search (BFS), and union-find. Educative all of these and more in detail.

How should a beginner prepare for a coding interview?

A beginner should master basic programming concepts and data structures, such as arrays, linked lists, and hash maps. Then, practice solving simple coding problems and gradually move to more complex ones. Use online platforms like Educative, LeetCode, and HackerRank for guided practice and to study common algorithms and patterns.

Is the course grokking the coding interview enough for FAANG interviews?

Yes, Grokking the Coding Interview by Educative is valuable for FAANG interviews. It provides a structured approach to solving common coding problems and understanding key patterns, which is crucial for technical interviews at top tech companies. It currently offers 228 LeetCode coding problems categorized under key coding patterns, and this number is continuously increasing.

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