Development

Data Structures & Algorithms Interview Preparation Practice

Course Overview

  • Course Title: Data Structures & Algorithms Interview Preparation Practice
  • Instructor: Sanjay Parmar
  • Target Audience: Students and professionals preparing for interviews focusing on data structures and algorithms
  • Prerequisites: None

Curriculum Highlights

  • Key Topics Covered:
    • Arrays & Strings
      • Array Basics
      • Two-Pointer Technique
      • Sliding Window
      • String Manipulation
      • Common Array Problems (e.g., Maximum Subarray, Rotate Array)
      • Common String Problems (e.g., Anagrams, Palindromes)
    • Linked Lists & Stacks
      • Linked List Fundamentals
      • Single vs. Doubly Linked Lists
      • Stack Operations
      • Applications of Stacks (e.g., Expression Evaluation)
      • Common Linked List Problems (e.g., Reversal, Cycle Detection)
      • Stack Problems (e.g., Valid Parentheses, Next Greater Element)
    • Queues & Trees
      • Queue Fundamentals
      • Circular Queue and Priority Queue
      • Tree Basics (Binary Trees, Binary Search Trees)
      • Tree Traversals (Inorder, Preorder, Postorder)
      • Common Tree Problems (e.g., Lowest Common Ancestor, Depth Calculation)
    • Graphs & Hashing
      • Graph Representation (Adjacency List, Matrix)
      • Graph Traversal Algorithms (BFS, DFS)
      • Shortest Path Algorithms (Dijkstra’s, Bellman-Ford)
      • Hash Table Basics
      • Common Hashing Problems (e.g., Two Sum, Anagrams)
    • Sorting, Searching & Dynamic Programming
      • Sorting Algorithms (Quick Sort, Merge Sort, Bubble Sort)
      • Search Algorithms (Binary Search, Linear Search)
      • Basics of Dynamic Programming
      • Common DP Problems (e.g., Fibonacci, Knapsack Problem)
      • Recursion vs. Iteration
  • Key Skills Learned:
    • Array manipulation techniques
    • Linked list operations
    • Stack and queue management
    • Tree and graph algorithms
    • Hashing techniques
    • Sorting and searching algorithms
    • Dynamic programming fundamentals

Course Format

  • Duration: N/A
  • Format: Self-paced online course
  • Resources:
    • 5 practice tests
    • Access on mobile
    • Detailed explanations for every answer
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