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Data Structures for Coding Interviews in C++

The ultimate guide to data structures for coding interviews. Developed by FAANG engineers. Get interview-ready in hours with C++ implementations and real-world interview questions. Prep faster.

4.7
228 Lessons
25h
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Learning Roadmap

228 Lessons23 Quizzes65 Challenges

1.

Introduction to Complexity Measures

Introduction to Complexity Measures

Step through complexity measures, comparing algorithms, incorporating Big O notation, and analyzing nested loops.
Comparing AlgorithmsExample: Measuring Time Complexity of a Single Loop AlgorithmExample: Time Complexity of an Algorithm With Nested LoopsIntroduction to Asymptotic Analysis and Big OOther Common Asymptotic Notations and Why Big O Trumps ThemUseful FormulaeCommon Complexity ScenariosChallenge: Big (O) of Nested Loop with AdditionSolution: Big (O) of Nested Loop with AdditionChallenge: Big (O) of Nested Loop with SubtractionSolution: Big (O) of Nested Loop with SubtractionChallenge: Big (O) of Nested Loop with MultiplicationSolution: Big (O) of Nested Loop with MultiplicationChallenge: Nested Loop with Multiplication (Basic)Solution: Nested Loop with Multiplication (Basic)Challenge: Nested Loop with Multiplication (Intermediate)Solution: Nested Loop with Multiplication (Intermediate)Challenge: Nested Loop with Multiplication (Advanced)Solution: Nested Loop with Multiplication (Advanced)Challenge: Nested Loop with Multiplication (Pro)Solution: Nested Loop with Multiplication (Pro)Complexity Quiz: Test Your Understanding of Complexity

2.

Introduction to Arrays

Introduction to Arrays

Look at arrays, vectors, and multidimensional arrays; solve coding challenges with essential solutions.
What is an Array?Multidimensional ArraysWhat Is a Vector?Challenge: Remove Even Integers From ArraySolution: Remove Even Integers From ArrayChallenge: Merge Two Sorted ArraysSolution: Merge Two Sorted ArraysChallenge: Find Two Numbers That Add Up to KSolution: Find Two Numbers That Add Up to KChallenge: Product of Array Except SelfSolution: Product of Array Except SelfChallenge: Find Minimum Value in ArraySolution: Find Minimum Value in ArrayChallenge: First Non-Repeating Integer in an ArraySolution: First Non-Repeating Integer in an ArrayChallenge: Find Second Maximum Value in an ArraySolution: Find Second Maximum Value in an ArrayChallenge: Rotate ArraySolution: Rotate ArrayChallenge: Rearrange Positive & Negative ValuesSolution: Rearrange Positive & Negative ValuesChallenge: Rearrange Sorted Array in Max/Min FormSolution: Rearrange Sorted Array in Max/Min FormChallenge: Maximum SubarraySolution: Maximum SubarrayArrays Quiz: Test Your Understanding of Arrays

3.

Introduction to Linked Lists

Introduction to Linked Lists

30 Lessons

30 Lessons

Work your way through Singly and Doubly Linked Lists structure, operations, and coding challenges.

4.

Introduction to Stack/Queues

Introduction to Stack/Queues

25 Lessons

25 Lessons

Grasp the fundamentals of stacks and queues, along with their applications and challenges.

5.

Introduction to Graphs

Introduction to Graphs

26 Lessons

26 Lessons

Dig into graph concepts, types, representations, implementations, complexities, traversal, and problem-solving.

6.

Introduction to Trees

Introduction to Trees

38 Lessons

38 Lessons

Explore tree structures, including their properties, types, and specific operations in C++.

7.

Trie

Trie

14 Lessons

14 Lessons

Build on trie structures for efficient string management and advanced word search applications.

8.

Introduction to Heap

Introduction to Heap

12 Lessons

12 Lessons

Learn how to use heaps for efficient sorting, priority queues, and element retrieval.

9.

Introduction to Hashing

Introduction to Hashing

33 Lessons

33 Lessons

Discover the logic behind hash table fundamentals, applications, and comparisons with other structures.

10.

Summary of Data Structures

Summary of Data Structures

2 Lessons

2 Lessons

Examine the key differences and performance metrics of linear and non-linear data structures.
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Developed by MAANG Engineers
ABOUT THIS COURSE
Data structures are amongst the very fundamentals of Computer Science and are often a core decision in developing efficient programs. Consequently, they are also largely categorized as a vital benchmark of computer science knowledge when it comes to industry interviews. This course contains a detailed review of all the common data structures and provides implementation level details in C++ to allow readers to become well equipped with all the different data structures they can leverage to write better code!
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Frequently Asked Questions

What are the data structures of C++ programming?

C++ provides several fundamental data structures, both built-in and through its Standard Template Library (STL). The built-in data structures include arrays and pointers for simple, contiguous memory storage. The STL offers more advanced structures like vector (dynamic array), list (doubly linked list), deque (double-ended queue), stack (LIFO stack), queue (FIFO queue), priority_queue (heap), set (ordered collection of unique elements), map (key-value pairs), unordered_set, and unordered_map (hash-based structures). These data structures are optimized for different types of operations, such as fast access, insertion, or deletion, making C++ versatile for various programming needs.

Can I use C++ for coding interviews?

Yes, C++ is an excellent choice for coding interviews. It offers powerful features like manual memory management, object-oriented programming, and access to a rich Standard Template Library (STL) that provides efficient data structures and algorithms. C++ allows fine-grained control over performance, making it suitable for solving complex problems efficiently. Its syntax is well-known to most interviewers, and using C++ demonstrates a strong understanding of low-level programming concepts, which is valuable in many technical interviews.

How to study for a C++ interview

To study for a C++ interview, master core C++ concepts like pointers, memory management, object-oriented programming, and the Standard Template Library (STL). Practice solving common coding problems using STL data structures (vector, list, map, etc.) and algorithms to understand their complexities and use cases. Review key C++ features such as operator overloading, inheritance, polymorphism, and templates. Additionally, get comfortable writing clean, efficient code and explaining your approach clearly. Regular practice on platforms like LeetCode or Codeforces will help reinforce these skills and improve problem-solving speed.

Are C++ coders in demand?

Yes, C++ coders are in high demand, especially in game development, finance, embedded systems, and high-performance computing. C++ is valued for its speed, efficiency, and control over system resources, making it ideal for applications where performance is critical. Many companies seek C++ developers for roles that require low-level programming, real-time processing, and software that interacts closely with hardware. Its versatility and efficiency ensure that C++ remains a popular language in various tech sectors.

How many hours a day should I study C++?

The number of hours you should study C++ daily depends on your goals, current proficiency, and schedule. Generally, dedicating 1 to 2 hours of focused study daily is effective for consistent progress, allowing time to grasp new concepts, practice coding problems, and reinforce learning. If you have more time, you can extend this to 3 to 4 hours, but balance study with breaks to avoid burnout. Consistency is key, so aim for regular, manageable sessions that fit your routine.

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