Data Structures for Coding Interviews in JavaScript Course Syllabus

Overview (80-120 words) describing structure and time commitment. This course is designed to help JavaScript developers master data structures and algorithms critical for technical interviews at top tech companies. With a focus on practical problem-solving, you'll learn through interactive coding challenges, visual explanations, and real-world applications. The curriculum spans approximately 4 weeks of part-time study, with each module combining theory, hands-on practice, and performance analysis. Built by MAANG engineers, this JavaScript-specific course uses modern syntax and real coding interview scenarios to build confidence and fluency in algorithmic thinking.

Module 1: Big-O and Problem Solving Patterns

Estimated time: 6 hours

• Understanding time and space complexity
• Applying Big-O notation to JavaScript functions
• Sliding window technique
• Two-pointer technique

Module 2: Arrays & Strings

Estimated time: 6 hours

• Array traversal and manipulation in JavaScript
• In-place array modifications
• Substring and subarray logic
• Detecting duplicates and validating anagrams

Module 3: Hash Tables & Sets

Estimated time: 6 hours

• Implementing hash tables in JavaScript
• Handling collisions and understanding load factor
• Using Sets for unique value operations
• Frequency counting with maps and objects

Module 4: Linked Lists

Estimated time: 6 hours

• Singly and doubly linked list implementation
• Fast and slow pointer (tortoise and hare) technique
• Linked list reversal and cycle detection
• Merging linked lists

Module 5: Stacks & Queues

Estimated time: 6 hours

• Stack implementation and LIFO logic
• Queue implementation and FIFO logic
• Monotonic stacks and their applications
• Solving balanced parentheses and sliding window maximum

Module 6: Trees & Binary Search Trees

Estimated time: 12 hours

• Tree traversal: inorder, preorder, postorder
• Depth-first and breadth-first search (DFS/BFS)
• Binary Search Tree (BST) properties and operations
• Implementing tree search and path sum algorithms

Module 7: Heaps & Graphs

Estimated time: 12 hours

• Min-heap and max-heap implementation in JavaScript
• Priority queues using heaps
• Graph representations: adjacency list and matrix
• Dijkstra’s algorithm, BFS/DFS, and topological sorting

Module 8: Recursion & Backtracking

Estimated time: 6 hours

• Recursive function calls and call stack visualization
• Memoization for optimization
• Solving permutation and subset problems
• Backtracking for maze and combination problems

Prerequisites

• Familiarity with JavaScript syntax and basic programming constructs
• Understanding of functions, loops, and conditionals in JavaScript
• Basic knowledge of object-oriented programming in JS

What You'll Be Able to Do After

• Solve common coding interview problems using JavaScript
• Analyze time and space complexity of algorithms
• Implement and manipulate core data structures in JS
• Apply recursion and backtracking to algorithmic challenges
• Confidently tackle technical interviews at top-tier tech companies