| CARVIEW |
Beginner
35h
Updated 2 weeks ago
Data Structures for Coding Interviews in JavaScript
Content
1.
Introduction to Complexity Measures
22 Lessons
2.
Introduction to Arrays
25 Lessons
3.
Introduction to Linked Lists
31 Lessons
4.
Introduction to Stack/Queues
25 Lessons
5.
Introduction to Graphs
26 Lessons
6.
Introduction to Trees
38 Lessons
7.
Trie
14 Lessons
8.
Introduction to Heap
12 Lessons
9.
Introduction to Hashing
32 Lessons
10.
Summary of Data Structures
2 Lessons
Course Author:
Trusted by 2.8 million developers working at companies
Anthony Walker
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Evan Dunbar
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Carlos Matias La Borde
Souvik Kundu
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Vinay Krishnaiah
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Frequently Asked Questions
Which data structure is most asked in an interview?
Arrays and linked lists are the most commonly asked data structures in interviews because they form the foundation for many algorithmic problems. Additionally, hash tables (for fast lookups), stacks, queues, and binary trees (like binary search trees and heaps) are frequently discussed due to their importance in solving various practical problems. Mastery of these core data structures is crucial as they often serve as building blocks for more complex algorithms and solutions.
Can I use JavaScript for DSA interviews?
You can use JavaScript for data structures and algorithms (DSA) interviews. JavaScript is increasingly accepted, especially for front-end and full-stack developer roles, because it demonstrates versatility and familiarity with web technologies. The language offers built-in data structures like arrays, objects, sets, and maps, sufficient for solving most DSA problems. However, JavaScript lacks some lower-level control than languages like C++ or Java, so be prepared to clearly explain your solutions and handle any performance considerations.
Is DSA easy in JavaScript?
Yes, DSA can be relatively easy in JavaScript due to its simple syntax, dynamic typing, and built-in data structures like arrays, objects, sets, and maps. These features make it straightforward to implement common algorithms and manipulate data. However, JavaScript lacks advanced data structures and low-level control in other languages, which might require creative approaches for certain problems. Overall, JavaScript is user-friendly for learning and practicing DSA concepts.
How many data structures are in JavaScript?
JavaScript has several built-in data structures: primitive types like Number, String, and Boolean, and non-primitive types like Object, Array, Map, Set, WeakMap, and WeakSet. Each data structure serves different purposes, such as arrays for ordered lists, objects for key-value pairs, maps for efficient key-value storage, and sets for storing unique values. These structures are versatile enough to handle most data manipulation needs in JavaScript.
How to prepare DSA in 10 days
To prepare for DSA in 10 days, focus on the most important topics:
- Days 1–2: Master the basics of arrays, strings, and linked lists.
- Days 3–4: Study stacks, queues, and hash tables, focusing on their operations and use cases.
- Days 5–6: Learn about trees (binary trees, binary search trees) and graphs, including basic traversal algorithms (BFS, DFS).
- Days 7–8: Understand sorting and searching algorithms, like quicksort, mergesort, and binary search.
- Day 9: Practice dynamic programming basics and common problems (like the Fibonacci sequence).
- Day 10: Review, take mock tests, and solve a mix of problems to reinforce your understanding.
Prioritize understanding concepts and practice problems daily to build speed and confidence.
