HomeCoursesDecode the Coding Interview in Go: Real-World Examples

5.0

Beginner

19h

Decode the Coding Interview in Go: Real-World Examples

The ultimate guide to coding interviews in Go. Practice with real-world interview questions from top companies. Deploy strategies developed by FAANG engineers and get interview-ready in hours.

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Overview

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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#, Python, Ruby, Elixir, Scala, Swift, Kotlin, and JavaScript.)

Preparing for coding interviews has become a daunting task. Trying to solve enough practice questions and remember solutions can...Show More

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.

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

Content

389 Lessons204 Challenges

✨Getting Started

2 Lessons

Get familiar with preparing for coding interviews through real-world examples and structured problem-solving.

Course Overview

Who Should Take This Course?

Netflix

26 Lessons

Enhance Netflix's user experience with features like title grouping, top movie fetching, and session integrity validation.

Project Description For Netflix

Feature #1: Group Similar Titles

Feature #2: Fetch Top Movies

Feature #3: Find Median Age

Feature #4: Popularity Analysis

Feature #5: Fetch Most Recently Watched Titles

Feature #6: Fetch Most Frequently Watched Titles

Feature #7: Browse Ratings

Feature #8: Verify User Session

Feature #9: Movie Combinations of a Genre

Feature #10: Calculate Median of Buffering Events

Feature #11: Generate Movie Viewing Orders

Feature #12: Maintain Continue Watching Bar

What Did We Learn?

DIY: Group Anagrams

DIY: Merge K Sorted Lists

DIY: Find Median from a Data Stream

DIY: Validate Stack Sequences

DIY: Letter Combinations of a Phone Number

DIY: Sliding Window Median

DIY: Permutations

DIY: Maximum Frequency Stack

Facebook

22 Lessons

Master the steps to enhance Facebook's functionality through problem-solving and algorithmic techniques.

Search Engine

22 Lessons

Grasp the fundamentals of building a search engine with features like efficient word storage, autocomplete, and query optimization.

Google Calendar

17 Lessons

Take a closer look at scheduling, conflict management, and optimization within Google Calendar.

Stock Scraper

13 Lessons

Tackle creating a stock scraper, parsing the DOM, and analyzing stock data for profit.

UBER

18 Lessons

Master practical skills and problem-solving techniques for Uber-related coding challenges in Go.

Amazon

34 Lessons

Sharpen your skills in implementing Amazon's real-world coding challenges in Go.

Zoom

12 Lessons

Unpack the core of enhancing participant management, serialization, mini-games, and data validation within Zoom.

10.

Plagiarism Checker

6 Lessons

Examine plagiarism detection techniques, token matching, and methods to identify and compare code similarities.

11.

Network

27 Lessons

Grasp the fundamentals of network design, protocols, and optimization strategies crucial for coding interviews.

12.

Cyber Security

12 Lessons

Solve problems in cyber security with encryption, packet validation, message integrity, and leader election.

13.

Operating System

35 Lessons

Focus on OS features like process scheduling, memory allocation, dependency management, and file system optimization.

14.

Language Compiler

22 Lessons

Piece together the parts of creating an innovative C++ compiler with various optimization features.

15.

Boggle

6 Lessons

Step through Boggle game features, implementing word search methods and recognizing interview patterns.

16.

Scrabble 2.0

6 Lessons

Walk through digital Scrabble's transformation mechanics using graph algorithms for word conversions.

17.

Game

9 Lessons

Master the steps to develop online games and apply these concepts in coding interviews.

18.

Stocks

19 Lessons

Apply your skills to enhance stock trading processes, validating prices, managing trades, and evaluating broker performance.

19.

Computational Biology

21 Lessons

Deepen your knowledge of computational biology with practical software development applications in DNA analysis.

20.

Cellular Operator(AT&T)

20 Lessons

Tackle real-world cellular network challenges by optimizing coverage, signal strength, and user connectivity.

21.

Twitter

17 Lessons

Build on developing Twitter APIs, managing feeds, user engagement, and solving coding challenges.

22.

Trees

8 Lessons

Sharpen your skills in various binary tree operations and traversal techniques efficiently.

23.

Miscellaneous

14 Lessons

Discover the logic behind advanced algorithms for solving complex interview problems using Go.

24.

Conclusion

1 Lessons

Examine future steps, behavioral interview prep, further studies, and provide feedback.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by our in-house team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

Trusted by 2.7 million developers working at companies

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Anthony Walker

@_webarchitect_

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Evan Dunbar

ML Engineer

"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."

Software Developer

Carlos Matias La Borde

"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"

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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