Mastering Data Structures & Algorithms for Placement

Original price was: ₹9,999.00.Current price is: ₹7,999.00.

Mastering Data Structures & Algorithms for Placement

Original price was: ₹9,999.00.Current price is: ₹7,999.00.

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🧠 Course Objective

This course is designed to help students master the fundamentals and advanced concepts of Data Structures and Algorithms (DSA) — essential for technical interviews, competitive coding, and product-based company placements.

Students will learn to analyze time and space complexity, solve real-world problems, and ace coding tests and interviews at companies like TCS, Infosys, Wipro, Amazon, Microsoft, Google, and more.


📚 Course Curriculum

🧩 Module 1: Programming Foundations (Language Optional: C++/Java/Python)

  • Variables, loops, conditionals

  • Functions, recursion, and dry runs

  • Time complexity: Big-O notation


🧩 Module 2: Arrays & Strings

  • Searching & Sorting (Linear, Binary, Bubble, Insertion, Selection)

  • Prefix sum, sliding window

  • String operations: Palindrome, anagram, frequency maps

  • 2D arrays and matrix problems


🧩 Module 3: Recursion & Backtracking

  • Basic recursion patterns

  • Subset sum, permutations, combinations

  • N-Queens problem

  • Sudoku solver (backtracking)


🧩 Module 4: Linked Lists

  • Singly, doubly, and circular lists

  • Insertion, deletion, reversal (iterative & recursive)

  • Detect loop (Floyd’s cycle), intersection


🧩 Module 5: Stacks & Queues

  • Stack using array/LL

  • Infix/Postfix/Prefix conversion & evaluation

  • Queue, circular queue, dequeue

  • Monotonic stack problems (e.g., Stock Span)


🧩 Module 6: Trees & Binary Search Trees

  • Binary trees and traversals (inorder, preorder, postorder)

  • BST operations (insert, delete, search)

  • Lowest common ancestor, height/balance check

  • Heaps and priority queues (max/min heap)


🧩 Module 7: Graphs

  • BFS, DFS

  • Adjacency list/matrix

  • Cycle detection, topological sort

  • Dijkstra’s and Prim’s algorithms

  • Disjoint sets and union-find


🧩 Module 8: Greedy & Dynamic Programming

  • Greedy problems: Activity selection, fractional knapsack

  • 0/1 knapsack, LIS, LCS

  • DP on trees and DP on grids

  • Tabulation vs memoization


💻 Capstone Projects / Practice

  • Coding assignments on HackerRank, LeetCode, CodeStudio

  • Weekly coding contests

  • 2 full-length mock placement tests

  • Final mini project (DSA-based)


🧾 Assessment & Certification

  • 8–10 weekly quizzes

  • Live mock coding interview

  • Final project submission

  • Certification from Education MESD