Grokking Coding Interview Patterns in Java

Ace the coding patterns of LeetCode problems asked during technical interviews, ensuring a smooth and enjoyable interview experience.

Intermediate

427 Lessons

85h

Certificate of Completion

Ace the coding patterns of LeetCode problems asked during technical interviews, ensuring a smooth and enjoyable interview experience.

AI-POWERED

Code Feedback

Mock Interview

Explanations

AI-POWERED

Code Feedback

Mock Interview

This course includes

288 Playgrounds

228 Challenges

229 Quizzes

This course includes

288 Playgrounds

228 Challenges

229 Quizzes

Course Overview

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...Show More

TAKEAWAY SKILLS

Java

Programming Language

Prepare For Interview

Coding Interview Patterns

Data Structures

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

What You'll Learn

Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets

Course Content

Getting Started

In this chapter, you will learn the structure and objectives of this coding interview prep course.

Course Overview

Who Should Take This Course

Two Pointers

In this chapter, you will discover how to use the two pointers technique to solve array and string problems.

Introduction to Two Pointers

Valid Palindrome Solution: Valid Palindrome

Sum of Three Values Solution: Sum of Three Values

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

Valid Palindrome II

Fast and Slow Pointers

This chapter shows how to solve problems using the fast and slow pointers approach to detect cycles and find midpoints in linked lists.

Introduction to Fast and Slow Pointers

Happy Number Solution: Happy Number

Linked List Cycle Solution: Linked List Cycle

Middle of the Linked List Solution: Middle of the Linked List

Circular Array Loop Solution: Circular Array Loop

Find The Duplicate Number Solution: Find The Duplicate Number

Palindrome Linked List Solution: Palindrome Linked List

Sliding Window

This chapter covers how to use the sliding window technique to optimize the solution for various substring and subarray problems.

Introduction to Sliding Window

Repeated DNA Sequences Solution: Repeated DNA Sequences

Find Maximum in Sliding Window Solution: Find Maximum in Sliding Window

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

Best Time to Buy and Sell Stock

Merge Intervals

This chapter teaches you how to generate solutions for interval problems by merging overlapping intervals.

Introduction to Merge 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

Task Scheduler Solution: Task Scheduler

Meeting Rooms II

In-Place Manipulation of a Linked List

14 Lessons

This chapter shows how to solve problems by reversing, reordering, and swapping nodes within linked lists in place.

Two Heaps

11 Lessons

In this chapter, you will discover how to solve problems using two heaps to manage and process data streams.

K-way merge

11 Lessons

This chapter covers how to use the K-way merge technique to solve problems involving merging multiple sorted lists or arrays.

Top K Elements

11 Lessons

This chapter teaches you how to generate solutions for finding the top K elements in various data structures.

Modified Binary Search

16 Lessons

In this chapter, you will learn how to solve problems using variations of the binary search algorithm for different scenarios.

Subsets

10 Lessons

This chapter explores how to solve problems by generating all possible subsets or combinations of a set.

Greedy Techniques

14 Lessons

This chapter shows how to solve problems by making the most optimal choice at each step using greedy algorithms.

Backtracking

15 Lessons

In this chapter, you will learn how to solve complex problems by exploring all potential solutions using backtracking.

Dynamic Programming

32 Lessons

This chapter teaches you how to generate solutions for problems by breaking them down into simpler subproblems using dynamic programming.

Cyclic Sort

8 Lessons

This chapter covers how to use the cyclic sort technique to solve problems related to finding missing or duplicate numbers in arrays.

Topological Sort

12 Lessons

In this chapter, you will discover how to solve problems that involve dependencies using topological sorting.

Matrices

9 Lessons

This chapter explores problems involving matrices like rotate image and spiral matrix.

Stacks

14 Lessons

This chapter focuses on stacks, covering their fundamental operations and applications in various problems.

Graphs

13 Lessons

In this chapter, you will learn how to solve problems by representing and traversing graphs.

Tree Depth-First Search

29 Lessons

This chapter emphasizes tree DFS techniques, exploring various problems related to binary trees, including conversion, traversal, and validation.

Tree Breadth-First Search

14 Lessons

This chapter shows how BFS emphasizes level-wise node traversal and includes various implementations like level order and zigzag traversals.

Trie

14 Lessons

This chapter focuses on the Trie data structure, detailing its implementation, operations, and applications in efficiently handling strings and prefixes.

Hash Maps

16 Lessons

In this chapter, you will learn how to solve problems using hash maps for data storage and retrieval.

Knowing What to Track

18 Lessons

This chapter covers how to use tracking techniques to solve problems involving data frequency and uniqueness.

Union Find

18 Lessons

This chapter teaches you how to generate solutions for connectivity problems using the union-find data structure.

Custom Data Structures

16 Lessons

This chapter shows how to solve problems by designing and implementing custom data structures.

Bitwise Manipulation

14 Lessons

In this chapter, you will discover how to solve problems using bitwise operations for computation.

Challenge Yourself

40 Lessons

This chapter covers how to challenge your problem-solving skills with advanced and diverse coding problems.

Conclusion

1 Lesson

This chapter explores how to continue your coding journey and apply the skills learned in real-world scenarios.

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI-Powered Mock Interviews

Put your skills to the test in a simulated interview setting. Receive personalized feedback based on your performance. Available in Premium & Premium Plus plans.

Adaptive Learning

At various checkpoints throughout Educative courses, you will be prompted to take a quick assessment. Receive a condensed curriculum tailored to your strengths and skill gaps.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

Looking for something else?

Frequently Asked Questions

What is Grokking the Coding Interview?

Grokking the Coding Interview is an educational resource specifically designed to help users prepare for software engineering interviews. It is structured as a course that breaks down typical coding interview problems into recognizable patterns, teaching the strategies, and problem-solving techniques necessary to tackle these effectively. It further helps learners deeply understand these patterns so they can efficiently solve a wide range of problems without having to memorize extensive problem sets. This focus on pattern recognition over rote memorization helps candidates approach interviews with a stronger, more strategic foundation. The course explains a series of common problem-solving patterns that are frequently asked in coding interviews. These patterns include, but are not limited to:

Sliding Window
Two Pointers
Fast and Slow Pointers
Merge Intervals
Cyclic Sort
Top K Elements
K-way merge

In addition, Educative offers Grokking the Coding Interview in 5 languages: Java, Python, C++, Go, and JavaScript.