DSA Mastery in Java: Crack Top Tech Placements
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7 modules
English
Lifetime access
Ace Every Coding Round with DSA Mastery in Java!
Overview
Course Description:
Unlock the secrets of Data Structures and Algorithms with hands-on Java coding! This course is your ultimate placement prep guide—covering everything from arrays to advanced algorithms, real-world problem-solving, and interview-level challenges. Whether you're a beginner or brushing up for big tech interviews, this is your roadmap to success in product-based companies.
Modules
Syllabus - DSA in Java
1 attachment
DSA in Java Syllabus
3 pages
Foundations of Java and DSA Thinking
12 attachments
Module 1: Java Refresher (for DSA)
Data Types, Variables, and Operators
Conditionals & Loops
Functions & Recursion
Object-Oriented Programming Basics (Class, Object, Inheritance, etc.)
Arrays, Strings, and their operations in Java
Input/Output for Competitive Coding (Scanner, BufferedReader, etc.)
Module 2: Time and Space Complexity
Big-O Notation
Best, Worst, Average Case
Time Complexity of Common Operations
Analyzing Recursive Functions
Essential Data Structures
16 attachments
Module 3: Arrays & Strings
1D and 2D Arrays
Prefix Sum, Sliding Window
Kadane's Algorithm, Two Pointer Technique
String Manipulation, Palindromes, Anagrams
Character Frequency Map
Module 4: Linked Lists
Singly, Doubly, and Circular Linked Lists
Insertion, Deletion, Reversal
Fast and Slow Pointer Techniques (Cycle detection)
Merging, Sorting Linked Lists
Module 5: Stacks and Queues
Stack using Array & LinkedList
Queue and Circular Queue
Deque and PriorityQueue (Java Collections)
Applications: Expression Evaluation, Balanced Parentheses, LRU Cache
Non-linear Data Structures
21 attachments • 1 mins
Module 6: Trees
Binary Trees and Binary Search Trees (BST)
Traversals: Inorder, Preorder, Postorder
Height, Diameter, Balanced Trees
BST Operations (Insert, Delete, Search)
Lowest Common Ancestor, Tree to DLL
Module 7: Heaps & Priority Queues
Min Heap, Max Heap
Heapify, Build Heap
Applications: Top-K Elements, Median Finder
Module 8: Tries
Implementation of Trie
Insert, Search, Delete
Applications: Auto-complete, Word Search
Module 9: Graphs
Representation (Adjacency List/Matrix)
BFS, DFS
Topological Sort
Shortest Path Algorithms (Dijkstra, Bellman-Ford)
Union-Find, MST (Kruskal/Prim)
Cycle Detection in Graphs
Recursion and Dynamic Programming
9 attachments
Module 10: Recursion Basics
Backtracking Problems
Subset, Permutation, N-Queens
Maze, Sudoku Solver
Module 11: Dynamic Programming
Memoization vs Tabulation
Classic Problems: Fibonacci, Knapsack, LCS, LIS, Edit Distance
1D/2D DP, DP on Trees & Graphs
State Optimization
Advanced Algorithms & Placement Patterns
10 attachments
Module 12: Greedy Algorithms
Activity Selection, Huffman Coding, Fractional Knapsack
Greedy vs DP comparison
Module 13: Sliding Window, Two Pointers, Prefix Sum
Optimal Subarrays
Maximum/Minimum in Subarrays
K Unique Elements
Module 14: Bit Manipulation
XOR Patterns, Single Number
Bitmasking Techniques
Interview Preparation & Mock Tests
11 attachments • 1 mins
Module 15: Company-Specific Problem Sets
Zoho Coding Questions
3 pages
Wipro Coding Questions
29 pages
Cognizant GenC Coding Questions
29 pages
TCS NQT Common Coding Questions
6 pages
IBM Coding Questions
8 pages
Module 16: Resume Building + Coding Platforms
Resume Guidelines for Product Companies
HackerRank DSA Problems with Solutions
286 pages
Module 17: Mock Interviews
Peer Mock Interviews
FAQs
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Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
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