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40h

Coderust: Hacking the Coding Interview

The ultimate guide to coding interviews. Developed by FAANG engineers, practice with real-world questions in top languages. Prep faster and get interview-ready in just a few hours.

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Overview

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Are you looking to land a new software engineering job? With two new languages and all-new questions, the recently updated Coderust is here to help you break into or level up in the tech industry. Coderust was created by former hiring managers with years of experience in today’s top tech companies. The revamped course will walk you through a carefully curated set of sample problems from real-life coding interviews. Solutions are presented in six of today's leading programming languages. Every example comes with step-by-step visualizations and solutions. Coderust empowers you to understand the underlying logic of software concepts instead of just memorizing formulas and answers. Write, compile, and execute your own code on the fly to test different approaches - all in the browser, no set up necessary! At the end of the course, you will have deep expertise to tackle your coding interview with confidence in Ruby, Go, C++, Java, Python, or JavaScript.

Are you looking to land a new software engineering job? With two new languages and all-new questions, the recently updated Coder...Show More

WHAT YOU'LL LEARN

Prepare for coding interviews

Develop skills to analyze a problem statement and break it down into smaller problems

Learn to pick the right data structure and algorithm to solve a given problem

Gain experience with a diversity of programming problems and techniques

Learn to compare alternative solutions quantitatively in terms of their space and time complexity

Prepare for coding interviews

Content

116 Lessons564 Challenges

Getting Started

2 Lessons

Get familiar with coding interview essentials and hands-on problem-solving techniques.

Course Overview

Who Should Take This Course

Arrays

19 Lessons

Unpack the core of essential array algorithms, including searches, rotations, and subarray challenges.

Implement Binary Search on a Sorted Array

Rotate an Array by N Elements

Search a Rotated Array

Find the Smallest Common Number

Find Low/High Index of a Key in a Sorted Array

Move All Zeros to the Beginning of the Array

Stock Buy Sell to Maximize Profit

Merge an Array With Overlapping Intervals

Find Pair With Given Sum in an Array

Squares of a Sorted Array

Container with Most Water

Sort an Array Using Quicksort Algorithm

Sort Colors

Arrange the Largest Number

Shuffle an Array

First Missing Positive Integer

Minimum Size Subarray Sum

Next Element Greater than Subset

Product of All Array Elements Except Self

Linked Lists

16 Lessons

Examine comprehensive linked list algorithms, from basic implementations to complex operations.

Implementation of Linked List

Reverse a Singly Linked List

Remove Duplicates from a Linked List

Delete All Occurrences of a Given Key in a Linked List

Sort Linked List Using Insertion Sort

Intersection Point of Two Lists

Find n'th Node from the End of a Linked List

Swap Nth Node with Head

Merge Two Sorted Linked Lists

Sort a Linked List Using Merge Sort

Reverse Even Nodes in a Linked List

Rotate a Linked List

Reverse Alternate K Nodes in a Singly Linked List

Fold List on Itself

Add Two Integers Represented by Linked Lists

Copy Linked List with Arbitrary Pointer

Math & Stats

11 Lessons

Enhance your understanding of mathematical and statistical problem-solving techniques in coding.

Find kth Permutation

Integer Division Without Using * or /

Pythagorean Triples

All Possible Combinations for a Given Sum

Find Missing Number

Print All Permutations of a String

Find All Subsets of a Set

Is String a Valid Number?

Calculate Power of a Number

Calculate Square Root of a Number

Check if Rectangles Overlap

Strings

14 Lessons

Take a closer look at string manipulation techniques, palindrome identification, and regex matching.

Reverse Words in a Sentence

Remove Duplicates from a String

Remove White Spaces from a String

Longest Valid Parentheses

Word Break Problem

Verify an Alien Dictionary

XML to Tree

Find all Palindrome Substrings

Longest Palindromic Substring

Regular Expression Matching in String

Add Two Strings

Add Two Binary Strings

Roman Numerals to Integers

Express a Number in English Words

Trees

19 Lessons

Follow the process of handling various binary tree operations, including traversal, manipulation, and validation.

Implementation of Binary Tree

Check if Two Binary Trees are Identical

Iterative In-order Traversal of Binary Tree

Write an In-Order Iterator for a Binary Tree

In-order Successor of Binary Search Tree

In-order Successor Binary Search Tree With Parent Pointers

Level Order Traversal of Binary Tree

Is a Binary Search Tree Valid?

Convert Binary Tree to Doubly Linked List

Print Tree Perimeter

Connect Same Level Siblings of a Binary Tree

Connect All Siblings of a Binary Tree

Serialize/Deserialize Binary Tree

Nth Highest Number in Binary Search Tree

Mirror Binary Tree Nodes

Delete Zero Sum Sub-Trees

Convert N-ary Tree to Binary Tree

Find Lowest Common Ancestor in a Binary Tree

Binary Tree Maximum Path Sum

Stacks and Queues

7 Lessons

Build on efficiently implementing and evaluating data structures using stacks and queues.

Implement Stack Using Queues

Implement Queue Using Stacks

Evaluate Reverse Polish Notation

Evaluate Arithmetic Expressions

Find Maximum in Sliding Window

Minimum Remove to Make Valid Parentheses

Exclusive Execution Time of Functions

Graphs

3 Lessons

Sharpen your skills in graph cloning, minimum spanning trees, and word chaining algorithms.

Clone a Directed Graph

Minimum Spanning Tree

Word Chaining

Back Tracking

4 Lessons

Get started with backtracking techniques to solve Boggle, N-Queens, balanced parentheses, and K-sum subsets efficiently.

Boggle

Generate all Combinations of Balanced Parentheses

Solve N-Queens Problem

Find K-Sum Subsets

10.

Dynamic Programming

9 Lessons

Master the steps to solve dynamic programming problems efficiently and tackle various patterns.

Fibonacci Numbers

Nth Tribonacci Number

Largest Sum Subarray

MaxSum Subsequence - Nonadjacent Elements

Count Square Submatrices

Unique Paths to Goal

Find Combinations for Game Scoring

Coin Changing Problem

Levenshtein Distance

11.

Miscellaneous

10 Lessons

Grasp the fundamentals of various algorithms and data structures for efficient problem-solving.

Sum of Three Values

Make Columns and Rows Zeros

Search in a Matrix

Check Validity of Tic-Tac-Toe Board

Implement LRU Cache

Determine Host Byte Order (Endianness)

Closest Meeting Point

Find Perimeter of Island

Design Your Own HashMap

Kth Largest Element in a Stream

12.

Appendix

1 Lessons

Take a look at Coderust's critical acclaim for streamlining coding interview preparations and securing jobs.

Testimonials

13.

Conclusion

1 Lessons

Investigate the next steps, emphasizing interview preparation, and utilizing new coding skills.

Where to Go from Here?

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Coderust

Developed by MAANG Engineers

Every Educative resource is designed by our team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who’ve shipped production code at scale and taught the theory behind it. The goal is to get you hands-on with the skills you need to stay ahead in today's constantly evolving tech landscape. No videos, no fluff — just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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Carlos Matias La Borde

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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

Hands-on Learning Powered by AI

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

Personalized Interview Prep

Skip the LeetCode grind with a custom roadmap that adapts to your goals. Hands-on practice for Coding Interviews, System Design, and more.

Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

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.

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!

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Learn data structure and concurrency concepts and solve real-world problems to prepare for coding interviews.

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Course

Grokking the Coding Interview Patterns

intermediate

85 hour

Skill Path

Java Coding Interview Patterns

beginner

55 hour

Skill Path

Meta Coding Interview in C++

beginner

27 hour

Skill Path

Go Coding Interview Patterns

beginner

55 hour

Skill Path

JavaScript Coding Interview Patterns

beginner

55 hour

Skill Path

Java Coding Interview

beginner

181 hour

Skill Path

C++ Coding Interview Prep

JavaScript Coding Interview

intermediate

185 hour

Skill Path

Python Coding Interview Prep

beginner

42 hour

Course

Coding Interview in Python

beginner

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Course

Coding Interview in Elixir

beginner

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Skill Path

Meta Coding Interview in Python

beginner

27 hour

Course

Coding Interview in Go

beginner

19 hour

Course

Coding Interview in Rust

beginner

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Preparing for a Coding Interview

beginner

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Free Resources

blog

Java Coding Interview Questions

blog

FAANG Coding Interview Questions

blog

JavaScript Coding Interviews

blog

Google Coding Interview

blog

Coding Interview Alternative

blog

Dynamic Coding Interview Problems

blog

Amazon Coding Interview Questions

cheatsheet

Important Coding Interview Problems

blog

Apple Coding Interview Questions

cheatsheet

Techniques for Coding Interviews

blog

Cracking the Coding Interview

blog

Coding Interview Roadmap

blog

C++ Coding Interview Questions

blog

Python Algorithms for Coding Interviews

blog

Coding Interview FAQs

Frequently Asked Questions

Is it hard to pass a coding interview?

Passing a coding interview can be challenging, especially for roles at top tech companies. It requires strong problem-solving skills, knowledge of data structures and algorithms, and practice with technical problems. However, it becomes more manageable with proper preparation, including mock interviews and familiarity with common interview questions.

Is it okay to make mistakes in coding interviews?

Making mistakes in a coding interview is common and acceptable as long as you handle them well. Interviewers value problem-solving approaches and how you recover from errors, so identifying and fixing mistakes while explaining your thought process can still leave a positive impression.

How do I crack my coding interview?

To crack a coding interview, thoroughly prepare by studying key data structures and algorithms, practicing various problems on coding platforms, understanding the underlying concepts, and developing strong problem-solving skills. Additionally, familiarize yourself with common interview formats and learn to explain your thought process clearly to the interviewer.

How do I win a coding interview?

Winning a coding interview involves solving the problems correctly and optimizing your solutions for efficiency. You must also demonstrate clear communication skills, stay calm under pressure, and show a good understanding of the fundamentals. Engage with the interviewer, ask clarifying questions, and approach problems methodically while articulating your logic.

What company has the hardest coding interview?

Google, Meta (Facebook), and Amazon are often regarded as having the hardest coding interviews due to their challenging and complex problem sets, which test deep knowledge of algorithms, data structures, and system design and the ability to solve problems efficiently within a limited time frame.