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Decode the Coding Interview in JavaScript: Real-World Examples
The ultimate guide to coding interviews in JavaScript. Developed by FAANG engineers, it offers real-world problems and adaptable solutions. Get interview-ready in just a few hours.
389 Lessons
17h
Also available in
Also available in
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- 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.
Learning Roadmap
1.
✨Getting Started
✨Getting Started
Get familiar with tackling real-world coding problems, user stories, and interview preparation.
2.
Netflix
Netflix
Get started with enhancing Netflix user experience through advanced search, performance tracking, and personalized content recommendations.
Project Description For NetflixFeature #1: Group Similar TitlesFeature #2: Fetch Top MoviesFeature #3: Find Median AgeFeature #4: Popularity AnalysisFeature #5: Fetch Most Recently Watched TitlesFeature #6: Fetch Most Frequently Watched TitlesFeature #7: Browse RatingsFeature #8: Verify User SessionFeature #9: Movie Combinations of a GenreFeature #10: Calculate Median of Buffering EventsFeature #11: Generate Movie Viewing OrdersFeature #12: Maintain Continue Watching BarWhat Did We Learn?DIY: Group AnagramsDIY: Merge K Sorted ListsDIY: Find Median from a Data StreamDIY: Monotonic ArrayDIY: LRU CacheDIY: LFU CacheDIY: Min StackDIY: Validate Stack SequencesDIY: Letter Combinations of a Phone NumberDIY: Sliding Window MedianDIY: PermutationsDIY: Maximum Frequency Stack
3.
22 Lessons
22 Lessons
Master the steps to develop, optimize, and implement Facebook-like features with practical projects.
4.
Search Engine
Search Engine
22 Lessons
22 Lessons
Grasp the fundamentals of developing search engine features, including word storage, autocomplete, ranking, and query processing.
5.
Google Calendar
Google Calendar
17 Lessons
17 Lessons
Solve problems in JavaScript by implementing features for effective event management in Google Calendar.
6.
Stock Scraper
Stock Scraper
13 Lessons
13 Lessons
Investigate web scraping techniques, DOM traversal, stock data extraction, and profit maximization strategies.
7.
UBER
UBER
18 Lessons
18 Lessons
Master the steps to optimize Uber's driver allocation, path costs, and fare calculation.
8.
Amazon
Amazon
34 Lessons
34 Lessons
Sharpen your skills in developing and optimizing real-world features and algorithms for Amazon.
9.
Zoom
Zoom
12 Lessons
12 Lessons
Walk through Zoom features and implement BST, serialization, mini-games, and data validation.
10.
Plagiarism Checker
Plagiarism Checker
6 Lessons
6 Lessons
Examine the key features and practical coding skills for enhancing a plagiarism checker.
11.
Network
Network
27 Lessons
27 Lessons
Grasp the fundamentals of network efficiency, routing, synchronization, and error management through practical features.
12.
Cyber Security
Cyber Security
12 Lessons
12 Lessons
Take a closer look at cyber security, encryption, verification, decoding, and validating communications.
13.
Operating System
Operating System
35 Lessons
35 Lessons
Tackle understanding the intricacies of OS, memory allocation, process scheduling, and file management.
14.
Language Compiler
Language Compiler
22 Lessons
22 Lessons
Examine major features of a language compiler, from comment removal to error detection.
15.
Boggle
Boggle
6 Lessons
6 Lessons
Learn how to use DFS and trie structures to solve Boggle game challenges.
16.
Scrabble 2.0
Scrabble 2.0
6 Lessons
6 Lessons
Get started with transforming and solving digital Scrabble word conversion challenges efficiently.
17.
Game
Game
9 Lessons
9 Lessons
Go hands-on with coding problem-solving through game development and algorithmic challenges.
18.
Stocks
Stocks
19 Lessons
19 Lessons
Streamline a trading platform with features for validating prices, managing trades, and tracking broker performance.
19.
Computational Biology
Computational Biology
21 Lessons
21 Lessons
Take a closer look at applying computer science to biological problems with DNA and protein analysis skills.
20.
Cellular Operator(AT&T)
Cellular Operator(AT&T)
20 Lessons
20 Lessons
Explore features for optimizing cellular networks, including signal strength, coverage areas, and user data.
21.
17 Lessons
17 Lessons
Build on managing Tweet interactions, implementing APIs, and solving coding challenges.
22.
Trees
Trees
8 Lessons
8 Lessons
Step through various techniques for traversing and manipulating binary trees in JavaScript.
23.
Miscellaneous
Miscellaneous
14 Lessons
14 Lessons
Walk through diverse problems including algorithmic challenges, data structures, and design principles.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Complete more lessons to unlock your certificate
Developed by MAANG Engineers
ABOUT THIS COURSE
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 real problems related to real projects (for example, paginating attendees in a Zoom call), not only will you have more fun preparing, but you’ll also have an easier time remembering what you’ve learned.
After each project, we’ll also show you what kinds of interview problems you’ll now be able to solve using the techniques you just applied so that your knowledge is adaptable to new problems.
(This course is also available in Rust, Java, C++, C#, Go, Python, Ruby, Elixir, Scala, Swift, and Kotlin.)
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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