Masterclass: Data Structures, Algorithms & Technical Interview Mastery

Master computer science fundamentals, algorithmic problem solving, time-space complexity, and FAANG technical interview preparation.

12 Weeks
Online / Offline
English & Tamil
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Course Overview

Supercharge your technical interview performance. Master core computer science data structures, develop an intuitive instinct for algorithmic problem solving, and conquer complex dynamic programming and graph challenges with confidence.

Skills You Will Master

Asymptotic Analysis (Big-O) Arrays, Strings & Two Pointers Linked Lists, Stacks & Queues Binary Trees, BST & Heaps Graph Algorithms (BFS, DFS, Dijkstra) Dynamic Programming (1D & 2D) Sliding Window & Hash Maps LeetCode / Codeforces Mastery

Course Curriculum

Module 1: Asymptotic Complexity & Linear Data Structures

  • Big-O, Big-Omega, and Big-Theta Notation & Space-Time Tradeoffs
  • Dynamic Arrays, Amortized Analysis & In-Place Manipulations
  • Strings, Two Pointers Technique & Sliding Window Optimization
  • Hash Tables, Collision Resolution & Amortized O(1) Lookups

Module 2: Linked Lists, Stacks, Queues & Monotonic Patterns

  • Singly & Doubly Linked Lists, Fast & Slow Pointers (Floyd's Cycle Detection)
  • Stack Implementation, Infix-to-Postfix & Balanced Parentheses
  • Monotonic Stack & Monotonic Queue Patterns for Range Maximum Problems
  • Circular Queues, Double-Ended Queues (Deque) & Priority Queues

Module 3: Recursion, Backtracking & Divide and Conquer

  • Call Stack Visualization, Recurrence Relations & Master Theorem
  • Backtracking Paradigms: N-Queens, Subsets, Permutations & Sudoku Solver
  • Divide and Conquer: Binary Search Variations & Rotated Array Search
  • Sorting Algorithms: QuickSort, MergeSort, HeapSort & Custom Comparators

Module 4: Hierarchical Structures: Trees, BSTs & Heaps

  • Binary Tree Traversals: Recursive and Iterative (Pre, In, Post, Level-Order)
  • Binary Search Trees (BST): Insertion, Deletion, Validation & LCA
  • Balanced Trees: AVL Trees & Red-Black Tree Concepts
  • Binary Heaps, Priority Queues, Heapify & Top-K Frequent Elements

Module 5: Graph Theory & Advanced Network Algorithms

  • Graph Representations: Adjacency Matrix, Adjacency List & Edge List
  • Breadth-First Search (BFS) & Depth-First Search (DFS) Traversal Patterns
  • Cycle Detection in Directed and Undirected Graphs, Topological Sort (Kahn's)
  • Shortest Path Algorithms: Dijkstra, Bellman-Ford & Minimum Spanning Trees (Kruskal/Prim)

Module 6: Dynamic Programming (DP) & Mock FAANG Interviews

  • Overlapping Subproblems & Optimal Substructure: Memoization vs Tabulation
  • 1D Dynamic Programming: Fibonacci, Climbing Stairs & House Robber
  • 2D Dynamic Programming: 0/1 Knapsack, Longest Common Subsequence (LCS)
  • Advanced DP: Matrix Chain Multiplication, DP on Trees & Bitmask DP
  • Capstone: Timed FAANG Mock Coding Interviews & Algorithmic Defense

Local Training Campuses & Placement Drives

Classroom & hybrid batches in Coimbatore & Chennai

Coimbatore • Training

Data Structure
Chennai • Training

Data Structure

Take the Next Step in Your Career

Join our comprehensive Masterclass: Data Structures, Algorithms & Technical Interview Mastery program and gain real-world skills that employers demand.

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