Algorithms for Coding Interviews in Java

The ultimate guide to coding interviews in Java. Developed by FAANG engineers, tackle 50+ challenge problems, review detailed solutions, and learn strategies to craft optimal solutions.

Intermediate

151 Lessons

15h

Certificate of Completion

The ultimate guide to coding interviews in Java. Developed by FAANG engineers, tackle 50+ challenge problems, review detailed solutions, and learn strategies to craft optimal solutions.

AI-POWERED

Mock Interview
Explanations

AI-POWERED

Mock Interview
Explanations

This course includes

140 Playgrounds
50 Challenges
17 Quizzes

This course includes

140 Playgrounds
50 Challenges
17 Quizzes

Course Overview

Algorithms are one of the most common themes in coding interviews, so having a firm grip on them can be the difference between being hired or not. After this comprehensive course in Java, one of the most popular coding languages, you'll have an in-depth understanding of different algorithm types and be equipped with a simple process for approaching complex analysis. As you progress through the course, you’ll be exposed to the most important algorithms that you're likely to encounter in an interview. You'l...Show More

TAKEAWAY SKILLS

Java

Programming Language

Prepare For Interview

Algorithms

Time Complexity

Course Content

1.

Introduction

Get familiar with foundational concepts, coding challenges, and advanced problem-solving strategies for Java.
2.

Algorithmic Paradigms

Grasp the fundamentals of brute force, greedy algorithms, divide and conquer, and dynamic programming.
3.

Asymptotic Analysis

Master the steps to asymptotic analysis, comparing algorithm complexities, and solving complexity challenges.
4.

Sorting and Searching

Discover algorithm techniques for sorting (like Merge Sort and QuickSort) and efficient searching methods.
5.

Dynamic Programming

Deepen your knowledge of dynamic programming techniques for solving complex coding problems efficiently.
6.

Greedy Algorithms

20 Lessons

Follow the process of designing and implementing efficient greedy algorithms to solve diverse optimization problems.
7.

Divide and Conquer

23 Lessons

Master the steps to applying divide and conquer for efficient problem-solving in algorithm design.
8.

Graph Algorithms

22 Lessons

Sharpen your skills in implementing and solving diverse graph algorithms efficiently.
9.

Appendix: Auxiliary Source Code

5 Lessons

Unpack the core of auxiliary classes like Stack, Queue, PriorityQueue, HashMap, and ArrayList.
10.

Conclusion

2 Lessons

Master the steps to understand efficient algorithms and enhance your technical interview skills.

Course Author

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

Adaptive Learning

Explain with AI

AI Code Mentor