Tech Interview Prep: Get Hired

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Skip the LeetCode grind. Prep confidently for your entire loop with a personalized plan that adapts to your goals & progress.

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Role of Interest

Entry-Level Engineer

Company

Google

Target Interview Date

December 24, 2024

We have helped developers launch careers at

Today I accepted my offer letter at Google and I would like to thank you personally for helping me achieve it. Without your resources, this would not have been possible and for that I am truly grateful.

Saad Aleem

Software Engineer at Google

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Coding Interview Patterns

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Coding Interview Patterns

Learn 26 patterns. Unlock thousands of common coding interview questions — without getting lost in a maze of Leetcode practice problems. Developed by FAANG hiring managers to help you prepare for interviews at major tech companies.

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Explore Interview Prep Catalog

100+ courses & skill paths for every specialization.

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Grokking Coding Interview Patterns in Python

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Grokking Coding Interview Patterns in Java

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Grokking Coding Interview Patterns in C++

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Data Structures for Coding Interviews in C#

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Decode the Coding Interview in JavaScript: Real-World Examples

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Decode the Coding Interview in C#: Real-World Examples

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Algorithms for Coding Interviews in Java

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Coderust: Hacking the Coding Interview

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Introducing Mock Interviews

Put your skills to the test in a simulated technical interview setting.

Coding Interviews

System Design

API Design

Object-Oriented Design

The Fast Track to Coding Interview Success

Master a handful of coding patterns. Unlock thousands of common interview questions.

Two Pointers

Two Pointers:Employs two pointers initialized at distinct positions for efficient list traversal & manipulation

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Fast and Slow Pointers

Fast and Slow Pointers:Utilizes two pointers for efficient problem solving in linked lists and arrays

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Sliding Window

Sliding Window:Utilizes a window, fixed or dynamic, for optimized sequential data analysis

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Merge Intervals

Merge Intervals:Combines overlapping or adjacent intervals in a sorted list, aiding tasks like appointment scheduling

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Two Heaps

Two Heaps:Utilizes both max-heap and min-heap for solving Element Selection & Priority-based problems

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K-way Merge

K-way Merge:Merges K sorted lists into a single sorted structure efficiently using a min-heap

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Top K Elements

Top K Elements:Retrieves K largest or smallest elements using a min-heap or max-heap, avoiding full sorting

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Greedy Techniques

Greedy Techniques:Makes locally optimal choices at each step & aims for a globally optimal solution

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Backtracking

Backtracking:Explores all possibilities to find solutions, often used in problems with multiple decision points

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Cyclic Sort

Cyclic Sort:Sorts an array of integers from 1 to n in place by repeatedly swapping the elements

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Hash Maps

Hash Maps:Using data structures that map keys to values, enable efficient associative array operations

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Union Find

Union Find:Maintains disjoint sets, offering element association operations of find and merge

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Top Interview Prep Cheatsheets

Free

System Design

Google System Design Interview Survival Guide

System Design

Mastering Load Balancing in System Design

System Design

Understanding Scalability in System Design

System Design

System Analysis vs. System Design

Why Educative Interview Prep?

Educative is your definitive tech interview prep roadmap. Prepare for success in every phase of the loop, from coding interviews, to design interviews, and beyond.

Take the guesswork out of tech interview prep. Learning guides and battle-tested techniques developed by FAANG hiring managers.

Educative is more than just an interview prep platform — it's the best place to get hands-on with in-demand tech skills.

Frequently Asked Questions

How do I start studying for a tech interview?

To prepare for a tech interview: Begin by understanding the job requirements and tech stacks involved. Brush up on fundamental concepts such as data structures, algorithms, and system design, and practice coding in the language you will be using. Utilize online platforms like Educative to practice coding questions. Try mock interviews and ask for experts’ help to practice your answers aloud.

How many hours does it take to prepare for a tech interview?

The amount of time it takes to prepare for a coding interview depends on your experience. For entry-level developers, it’s advisable to take 12 weeks to prepare. But if you have more experience, a time frame of 4-8 weeks is enough.

What should I expect in a tech interview?

Tech interviews often feature complex questions and numerical problems. These tech interview questions help interviewers gauge your thought process and problem-solving skills.

What is a coding round?

Coding rounds are tests that help firms assess a candidate’s aptitude for problem solving. These challenges allow interviewers to determine if you’re good at breaking down complex problems and devising efficient solutions.