What will you learn in Data Structures for Coding Interviews in JavaScript Course
Master data structures essential for technical interviews using JavaScript
Implement arrays, linked lists, stacks, queues, trees, graphs, and hash tables
Solve real-world coding problems involving time and space complexity
Understand recursion, backtracking, and divide-and-conquer strategies
Prepare for JavaScript-based coding interviews at top tech companies
Practice coding with interactive challenges and performance analysis
Program Overview
Module 1: Big-O and Problem Solving Patterns
⏳ 0.5 week
Topics: Time/space complexity, sliding window, two-pointer techniques
Hands-on: Solve problems using optimized patterns and Big-O comparisons
Module 2: Arrays & Strings
⏳ 0.5 week
Topics: Traversal, in-place modifications, substring and subarray logic
Hands-on: Build algorithms to detect duplicates, rotate arrays, and validate anagrams
Module 3: Hash Tables & Sets
⏳ 0.5 week
Topics: Key-value access, collision handling, set operations
Hands-on: Solve problems involving frequency counting and maps
Module 4: Linked Lists
⏳ 0.5 week
Topics: Singly/doubly linked lists, fast and slow pointer methods
Hands-on: Implement reversal, cycle detection, and merge operations
Module 5: Stacks & Queues
⏳ 0.5 week
Topics: Stack/queue design, LIFO/FIFO logic, monotonic stacks
Hands-on: Solve problems like balanced parentheses and sliding window maximum
Module 6: Trees & Binary Search Trees
⏳ 1 week
Topics: DFS, BFS, traversal (inorder, preorder, postorder), BST logic
Hands-on: Implement tree search, path sum, and node distance problems
Module 7: Heaps & Graphs
⏳ 1 week
Topics: Min/max heaps, priority queues, graph representations
Hands-on: Apply Dijkstra’s, BFS/DFS, and topological sorting algorithms
Module 8: Recursion & Backtracking
⏳ 0.5 week
Topics: Recursive calls, memoization, call stack visualization
Hands-on: Solve maze, permutation, and subset problems recursively
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Job Outlook
Crucial for software engineering interviews at FAANG and top-tier startups
Strong demand for JavaScript developers with algorithmic skills
Prepares candidates for frontend, backend, and full-stack technical roles
Enhances problem-solving skills necessary for remote interviews and coding rounds
Specification: Data Structures for Coding Interviews in JavaScript Course
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FAQs
- Focuses on JavaScript-specific data structures used in interviews.
- Teaches problem-solving patterns like sliding window, two-pointer, recursion, and backtracking.
- Provides hands-on exercises simulating real interview questions.
- Covers arrays, linked lists, stacks, queues, trees, graphs, and hash tables.
- Prepares learners for FAANG and startup interview coding rounds.
- Introduces Big-O notation and problem-solving patterns.
- Teaches how to optimize algorithms for efficiency.
- Provides exercises to compare different approaches based on complexity.
- Covers both recursive and iterative solutions.
- Encourages analyzing code performance before implementation.
- Some prior JavaScript knowledge is recommended.
- Focuses on applying JS syntax to implement data structures and algorithms.
- Provides code examples to reinforce concepts.
- Offers step-by-step exercises for practicing problem-solving.
- Not suitable for absolute beginners with no programming knowledge.
- Covers binary trees, BSTs, min/max heaps, and priority queues.
- Teaches BFS/DFS traversal and topological sorting.
- Provides exercises to implement and manipulate complex structures.
- Introduces practical use cases in real-world programming and interviews.
- Helps learners visualize data structure operations effectively.
- Provides interactive challenges simulating timed interviews.
- Teaches problem-solving patterns to quickly analyze and approach problems.
- Focuses on algorithm efficiency and clean code.
- Encourages repeated practice to improve speed and accuracy.
- Prepares learners for online coding platforms and real interview environments.
