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Grokking the Coding Interview Patterns in Go - AI-Powered Course 
Go
4.6
Intermediate
85h
Updated this week
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.
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Overview
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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!
With thousands of potential questions to account for, preparing for the coding interview can feel like an impossible challenge. ...Show More
WHAT YOU'LL LEARN
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
Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets
Show more
Content
835 Lessons436 Quizzes433 Challenges
1.
Getting Started
2 Lessons
Get familiar with coding patterns to excel in solving coding interview challenges.
2.
Two Pointers
38 Lessons
Unpack the core of using two pointers for efficient data traversal and problem-solving.
Introduction to Two PointersValid PalindromeSolution: Valid Palindrome3SumSolution: 3SumRemove Nth Node from End of ListSolution: Remove Nth Node from End of ListSort ColorsSolution: Sort ColorsReverse Words in a StringSolution: Reverse Words in a StringValid Word AbbreviationSolution: Valid Word AbbreviationStrobogrammatic NumberSolution: Strobogrammatic NumberMinimum Number of Moves to Make PalindromeSolution: Minimum Number of Moves to Make PalindromeNext Palindrome Using Same DigitsSolution: Next Palindrome Using Same DigitsLowest Common Ancestor of a Binary Tree IIISolution: Lowest Common Ancestor of a Binary Tree IIICount Pairs Whose Sum is Less than TargetSolution: Count Pairs Whose Sum is Less than TargetCount Subarrays With Fixed BoundsSolution: Count Subarrays With Fixed BoundsGet the Maximum ScoreSolution: Get the Maximum ScoreFind the Lexicographically Largest String From Box IISolution: Find the Lexicographically Largest String From Box IICreate Maximum NumberSolution: Create Maximum NumberAppend Characters to String to Make SubsequenceSolution: Append Characters to String to Make SubsequenceSquares of a Sorted ArraySolution: Squares of a Sorted ArrayReverse StringSolution: Reverse StringValid Palindrome II
3.
Fast and Slow Pointers
21 Lessons
Work your way through fast and slow pointers to solve cycles, identify intersections, and find midpoints.
4.
Sliding Window
31 Lessons
Enhance your skills in solving coding problems using the sliding window technique.
5.
Intervals
18 Lessons
Deepen your knowledge of merging, inserting, and intersecting intervals with optimization techniques.
6.
In-Place Manipulation of a Linked List
24 Lessons
Streamline linked list manipulation tasks like reversing segments, swapping nodes, and removing duplicates efficiently in-place.
7.
Heaps
25 Lessons
Master the steps to apply heaps for dynamic data processing, maximizing profits, and efficient scheduling.
8.
K-way merge
15 Lessons
Learn how to use K-way merge pattern for efficient merging and sorting of multiple lists.
9.
Top K Elements
37 Lessons
Walk through efficient extraction of top-k elements in diverse real-world scenarios.
10.
Modified Binary Search
32 Lessons
Work your way through advanced binary search techniques for sorted and rotated arrays.
11.
Subsets
14 Lessons
Grasp the fundamentals of generating combinations, permutations, and balanced structures with constraints.
12.
Greedy Techniques
31 Lessons
Take a closer look at greedy algorithms, implementing solutions in various optimization problems.
13.
Backtracking
33 Lessons
Investigate backtracking techniques for optimizing problem-solving in grid-based and combinatorial challenges.
14.
Dynamic Programming
36 Lessons
Master dynamic programming techniques with practical applications, optimizing complex problems through memoization and tabulation.
15.
Cyclic Sort
12 Lessons
Sharpen your skills in efficiently sorting and identifying missing or corrupt integers.
16.
Topological Sort
18 Lessons
Get started with organizing tasks, compiling classes, alien dictionaries, course schedules, and matrices.
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
35 Lessons
Examine key matrix operations, transformations, and algorithmic solutions for practical problems.
19.
Stacks
28 Lessons
Grasp the fundamentals of implementing stacks for efficient sequential data management and complex problem-solving.
20.
Graphs
31 Lessons
Dig deeper into graph algorithms, covering traversal methods, shortest paths, cycles, and graph validation.
21.
Tree Depth-First Search
35 Lessons
Follow the process of exploring DFS techniques to solve various binary tree problems.
22.
Tree Breadth-First Search
24 Lessons
Master the steps to efficiently perform level, zigzag, vertical, and sibling traversals in binary trees.
23.
Trie
28 Lessons
Learn how to use tries for efficient string storage, prefix search, and word suggestions.
24.
Hash Maps
38 Lessons
Unpack the core of hash maps, designing and implementing key-value operations, and solving optimization problems.
25.
Knowing What to Track
30 Lessons
Examine tracking techniques for data handling involving counting, palindromes, anagrams, stacks, and game design.
26.
Union Find
28 Lessons
Grasp the fundamentals of Union Find and its applications in various algorithmic problems.
27.
Custom Data Structures
32 Lessons
Examine various custom data structures to optimize specific requirements and enhance efficiency.
28.
Bitwise Manipulation
30 Lessons
Focus on mastering efficient bitwise manipulation for solving diverse computational problems.
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 advanced coding problems to enhance problem-solving skills independently.
31.
Conclusion
1 Lessons
Learn how to use essential skills to excel in coding interviews.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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.
Trusted by 2.8 million developers working at companies
"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc 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"
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"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"
Evan Dunbar
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"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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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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