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鈥檚, 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
- Arrays & Strings
- 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