Decode the Coding Interview in Java: Real-World Examples

This course helps you solve real Java coding interview questions by polishing your data structures and algorithm-based problem-solving skills.

Beginner

389 Lessons

18h

Certificate of Completion

This course helps you solve real Java coding interview questions by polishing your data structures and algorithm-based problem-solving skills.

AI-POWERED

Mock Interview
Explanations

AI-POWERED

Mock Interview
Explanations

This course includes

193 Playgrounds
195 Challenges

This course includes

193 Playgrounds
195 Challenges

Course Overview

Preparing for coding interviews has become a daunting task. Trying to solve enough practice questions and remember solutions can feel impossible. Fortunately, the best way to be successful in the coding interview is not to just grind through problems. The best way is to develop the skills to break down a new problem and deploy the right tools to come up with a solution. That’s why in this course, you’ll prepare for coding interviews by tackling real world problems faced by tech companies. When you solve r...Show More

TAKEAWAY SKILLS

Java

Programming Language

Prepare For Interview

Algorithms

Data Structures

What You'll Learn

Get hands on practice in preparing for coding interviews by tackling real world problem.

Prepare for interviews by solving the frequently asked coding question at companies like FAANG.

Perform an in-depth analysis of commonly asked coding interview problems.

Learn to map real-world problems to actual interview questions.

What You'll Learn

Get hands on practice in preparing for coding interviews by tackling real world problem.

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Course Content

1

✨Getting Started

This chapter introduces the course by presenting its overview, including its prerequisites and the intended audience.
2

Netflix

This chapter covers the Netflix project, detailing features like grouping similar titles, fetching top movies, popularity analysis, and verifying user session.
3

Facebook

This chapter explores the Facebook project, focusing on features like friend circles, copy connections, request limiter, divide posts, and overlapping topics.
4

Search Engine

This chapter teaches you to implement a search engine with features like autocomplete, calculate the Search Ranking Factor, and reorganize the search results.
5

Google Calendar

In this chapter, you'll learn how to manage Google Calendar features, including finding meeting rooms, scheduling meetings, and finding common meeting times.
6

Stock Scraper

13 Lessons

This chapter shows how to traverse the DOM tree to locate stock data and maximize profit from stock information.
7

UBER

18 Lessons

This chapter covers the Uber project, focusing on selecting closest drivers, path cost, highest rank, and optimal path.
8

Amazon

34 Lessons

This chapter explores how to enhance Amazon's system with features like suggesting items, upselling products, optimizing delivery costs, and ad serving.
9

Zoom

12 Lessons

This chapter teaches you how to manage Zoom features, such as displaying the meeting lobby, serializing participant data, and providing meeting activity.
10

Plagiarism Checker

6 Lessons

In this chapter, you will learn to create a plagiarism checker by identifying and returning possible matches.
11

Network

27 Lessons

This chapter covers network features like total time, TTL expiry, minimum hops, updating VLAN ID, dividing files over the network, and peak signal strength.
12

Cyber Security

12 Lessons

This chapter explores how to validate packet structures, verify message integrity, and ways to decode message for cyber security.
13

Operating System

35 Lessons

This chapter teaches you how to manage an operating system with features like allocating space, scheduling processes, and file management.
14

Language Compiler

22 Lessons

In this chapter, you will discover how to create a language compiler with features like evaluating arithmetic expressions and loop unrolling.
15

Boggle

6 Lessons

This chapter shows how to implement Boggle features, including searching for words in the Boggle grid.
16

Scrabble 2.0

6 Lessons

In this chapter, you'll learn how to implement Scrabble 2.0 features, focusing on minimum moves and possible results.
17

Game

9 Lessons

This chapter explores how to develop a variation of poker game, including features like hand of straights and maximum points from cards.
18

Stocks

19 Lessons

In this chapter, you will learn to manage stock data with features like validating prices, goals fulfilled, and processing transactions.
19

Computational Biology

21 Lessons

This chapter covers computational biology, focusing on DNA mutation, virus detection, protein identification, and virus mutation.
20

Cellular Operator(AT&T)

20 Lessons

This chapter explores cellular operator features like determining location, low coverage areas, powering up the station, and densest deployment.
21

Twitter

17 Lessons

This chapter teaches you how to implement Twitter features, such as adding likes, merging tweets, and predicting incoming tweets.
22

Trees

8 Lessons

This chapter covers several interview questions based on trees, including finding inversion, maximum path sum, and vertical order traversal of a binary tree.
23

Miscellaneous

14 Lessons

This chapter explores miscellaneous interview questions, such as minimum knight moves, sparse matrix multiplication, gas station, and Sudoku solver.
24

Conclusion

1 Lesson

This chapter concludes the course with final thoughts and guidance on the way forward.

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