[CS Technical Interview Part 5] Easy Guide to Data Structures

🚀 Introducing the fifth lecture [Data Structures] from the Technical Interview Master Roadmap.

📕 Data Structures, 'When to use what?' Develop that intuition!

Data structures go beyond simply knowing the concepts,

• Still confused about when to use stacks and queues❓

• Are you feeling overwhelmed about how complex data structures like trees or graphs are actually applied to real-world problems❓

In other words, it's a subject where you need to develop intuition about "when and which structure is best to use?" However, for beginners, various structures are scattered in fragments, and it often causes frustration because they can't get a sense of where and how stacks/queues/trees/graphs are used.

This course is designed specifically for those people, delivering the core concepts of each data structure intuitively through diagram-centered visualization, and clearly comparing the pros and cons and selection criteria for each structure so you can easily understand and remember them for a long time. I strongly recommend this course to those who have done basic coding but found data structures overwhelming, and those who want to organize CS theory.

🎯 Through this course, you will be able to clearly answer the following questions.

How do arrays and linked lists differ in structure, and what situations are each suitable for?
→ We'll visually explain the core concepts focusing on the differences in memory layout, access methods, and insertion/deletion operations.

How do stacks and queues process data according to what rules?
→ We organize the LIFO and FIFO principles with diagrams and examples, and also convey their practical application contexts.

What are the structural differences between trees and graphs?
→ We've structured the content to help you clearly distinguish and understand essential concepts such as hierarchical structure, presence of cycles, and traversal methods.

When are heaps useful?
→ We systematically explain the operating principles of heaps through priority queues, and the principles and implementation methods of min/max heaps.
→ We also cover practical use cases such as sorting and scheduling.

📌 At the end of the lecture, a practical interview practice chapter awaits you.

"What is the difference between arrays and lists?", "What are the conditions for a good hash function?",
"What is a heap data structure?" These are examples of
training to organize and articulate answers to frequently asked technical interview questions.

📖 A curriculum packed with only the essentials

This is the table of contents and key keywords you will learn in this course.

If there are any unfamiliar keywords, make sure to master them thoroughly with this opportunity.

💡 Non-majors can also succeed in developer jobs - CS is the key!

"I thought it would be over once I passed the coding test. But it wasn't."

I too, when first preparing for a developer job, was obsessed only with algorithms and coding tests. I gained some confidence and passed most coding tests. However, I kept failing at the next hurdle - technical interviews.
What was the problem?

It was precisely the lack of CS (Computer Science) knowledge. In interviews, CS fundamentals were considered much more important than algorithms. However, there was no need to dive deep into every CS subject. There were separate core CS concepts that frequently appear in technical interviews.

This course is a roadmap that systematically organizes those scattered core CS knowledge pieces. For those who, like me as a non-CS major, experienced frustration, I've clearly organized complex CS theories with a flow-centered approach. Furthermore, I've included core question practice chapters to help you develop the 'ability to explain' required in technical interviews. Now it's time to transform into a real developer through complete CS mastery.

✏ Here's what you'll learn

👀 Course Preview

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🖐 Hello! Let me introduce myself! 🙇

I created this course while thinking of my past self, who stayed up all night worrying about fundamentals and had my heart racing over a single interview question.

I started as a non-CS major and understand better than anyone the thirst for fundamentals (CS knowledge, programming languages, etc.). Through self-studying countless materials and building my own know-how, I eventually graduated from Seoul National University and now work as a 🧑🏻‍💻 Kakao developer.

From a young age, I was more confident than anyone in combining and reconstructing various materials to create my own 'comprehensive study notes.' This course is precisely that 'ultimate self-study know-how' and a secret notebook born from all my passion and philosophy.

🔥 What makes this course special?

• All of my 'know-how' is included: As a non-CS major, I have fully incorporated my experience and know-how of self-studying CS and programming languages and getting hired at a large corporation. I have included in this course all the methods for how to most efficiently understand complex and abstract concepts and make them your own.

• 'Fundamentals' are key in any development field: Whether you're aiming for game development, AI, web/app development, or any other field, basic knowledge of computer science is not optional but essential. This course helps you become a true expert based on solid fundamentals.

• We compete with 'overwhelming quality': I've referenced countless materials including textbooks, famous university lectures, commercial books, and technical interview resources to extract core keywords and reconstruct them in my own unique way. With intuitive diagrams and illustrations, plus easy explanations infused with my practical experience, I promise to make even complex concepts click with that "Ah, now I get it!" moment.

  
  

🗣 Real Interview Practice: Why is 'Speaking Practice' Important? (My Vivid Experience)

Let me share my experience with you. In an interview at a certain company, I was asked a question about floating-point numbers. It was content I had definitely read multiple times in books and thought I understood, but I couldn't utter a single word. I painfully realized that simply reading and understanding through passive learning wouldn't allow me to answer questions in real interviews.

You've probably experienced this at least once. You definitely studied and understood well, but because you didn't organize individually and practice 'speaking', all that effort was useless in real situations.

To succeed in interviews, you need not only to accumulate a lot of knowledge but also the ability to explain this knowledge. This 'ability to explain' can only be developed through practice of organizing concepts into just a few sentences and speaking them out loud. Through this process, you can also discover what you didn't know precisely.

My lectures don't miss this crucial point. After learning each core concept, we practice together in the 'Interview Practice' chapter where we practice summarizing in a few simple sentences that fit the interview format. Through this course, I will personally help ensure your knowledge shines in front of the interviewer. ✨

💡 Curious about other interview preparation courses? Check out the roadmap below :)

Pre-enrollment Reference Information