The Data Structures and Algorithms (DSA) Using Java course is a career-defining program designed to build your core programming and problem-solving skills. Whether you're preparing for product-based company interviews, looking to boost your competitive coding, or strengthening your Java development foundation, this course will guide you through all essential data structures and algorithms using a hands-on and interview-focused approach. Perfect for students, job seekers, and developers preparing for top tech roles.
Importance of DSA in Problem Solving
Java Basics Refresher
Time & Space Complexity
Big O, Omega, and Theta Notation
How to Analyze Algorithms
Introduction to Arrays
One-Dimensional & Multi-Dimensional Arrays
String Manipulation Techniques
Sliding Window Technique
Two Pointers Technique
Common Interview Problems
Basics of Recursion
Recursive Patterns & Stack Trace
Backtracking Techniques
Classic Problems (Subset, Permutations, Sudoku Solver)
Singly & Doubly Linked List
Circular Linked List
Operations: Insertion, Deletion, Reversal
Detecting Loops
Linked List Interview Questions
Stack Using Array & Linked List
Queue & Circular Queue
Deque, Priority Queue
Implementation using Java Collections
Application-Based Problems
Linear & Binary Search
Bubble, Selection, Insertion Sort
Merge Sort, Quick Sort
Counting Sort, Radix Sort
Sorting Interview Problems
Binary Trees & Binary Search Trees
Tree Traversals: Inorder, Preorder, Postorder
Level Order, Vertical Order, Zigzag Traversal
Lowest Common Ancestor (LCA)
AVL Tree (Concept)
Tree-Based Interview Problems
Min Heap, Max Heap
Heap Implementation & Priority Queue
HashMap, HashSet, HashTable
Custom Hashing
Collision Handling
Real-world Problem Solving
Representation: Adjacency List & Matrix
BFS, DFS
Dijkstra’s, Prim’s, Kruskal’s Algorithm
Cycle Detection
Topological Sort
Disjoint Sets (Union-Find)
Graph Interview Problems
Greedy Algorithms
Memoization vs Tabulation
0/1 Knapsack Problem
Longest Common Subsequence (LCS)
Matrix DP, Subset Sum
DP Interview Questions
Competitive Programming Tips (Leetcode, HackerRank, Codeforces)
Daily Coding Challenges
Resume Projects Using DSA (e.g., Mini Search Engine, Scheduling App)
Master core problem-solving and algorithmic thinking
Taught using real interview problems and patterns
Perfect for FAANG & top tech company prep
Strong foundation for competitive programming
Build the right base for Java-based software engineering roles
Tech Interview Preparation Roadmap
Resume Review for Product Companies
Java & DSA Job Guidance
How to Crack Online Assessments (OA)
GitHub Portfolio Advice
🔍 Roles You Can Apply For:
Software Developer (Java)
Backend Developer (Java)
SDE-1 / SDE-2 (Product Companies)
Java Programmer Analyst
Competitive Programmer (Intern / Full-time)
💸 Expected Salary Range (India):
| Experience Level | Role | Avg Salary |
|---|---|---|
| 0–1 years | Java Developer Trainee | ₹3 – ₹5 LPA |
| 1–3 years | Software Developer / SDE-1 | ₹6 – ₹12 LPA |
| 3–5 years | Sr. Java Engineer / SDE-2 | ₹12 – ₹18 LPA |
| 5+ years | Lead Developer / Architect | ₹18+ LPA |
✅ Real-Time Problem Solving & Case Studies
✅ Weekly Coding Assignments
✅ Mock Interviews + Coding Round Prep
✅ Certificate of Completion
✅ Job Referral Support
TechShappers is a leading institute offering hands-on, practical training for both working professionals and freshers to excel in their careers.
Learn, grow, and succeed with Techshappers– your partner in building a brighter future for your child.