OBJECT ORIENTED DATA STRUCTURE & ALGORITHMS

The Object-Oriented Data Structures & Algorithms (OOP + DSA) course is tailored for learners who want to master the art of problem-solving using Object-Oriented Programming principles. This course combines the power of OOP with core DSA concepts, building a solid foundation for modern software development, technical interviews, and scalable project design. Perfect for CS/IT students, coding aspirants, and professionals preparing for product-based company interviews or advancing into backend development roles.

📍 Module 1: Introduction to Object-Oriented Programming

What is OOP?
Procedural vs Object-Oriented Programming
Key Concepts:
- Classes & Objects
- Encapsulation
- Inheritance
- Polymorphism (Compile-time & Run-time)
- Abstraction
Constructor & Destructor
Access Modifiers
Static vs Non-Static Members
Method Overloading and Overriding
Use of this and super keywords

📍 Module 2: OOP in Action (Language-Specific)

OOP Implementation in Java / Python / C++
Hands-on Object Design
Object Relationships (Association, Aggregation, Composition)
Designing Real-world Classes (Banking, E-commerce, Library System)

📍 Module 3: Core Data Structures

Arrays & Strings
- Sorting & Searching Algorithms
- Pattern Problems
Linked Lists
- Singly, Doubly, Circular
- Object-Oriented Linked List Implementation
Stacks and Queues
- Implementation Using Classes & Objects
- Applications in Expression Evaluation, Reversals

📍 Module 4: Advanced Data Structures with OOP

Trees
- Binary Trees, BSTs using Object Nodes
- Tree Traversals (Inorder, Preorder, Postorder)
Heaps & Priority Queues
HashMaps and HashSets (Using Object Hashing)
Graphs
- Object-Oriented Graph Representation
- BFS and DFS

📍 Module 5: Object-Oriented Algorithms & Problem Solving

Recursion using Objects
Divide and Conquer Algorithms
Greedy Algorithms with OOP Classes
Backtracking with Object-Oriented Design
Introduction to Dynamic Programming (OOP Style)
Real-World Case Studies (e.g., Ride Sharing App Data Flow, File System Tree)

📍 Module 6: Design Patterns for DSA

Object-Oriented Thinking in Algorithms
Singleton, Factory, Strategy, Observer Patterns
Applying Patterns to DSA Problems

📍 Module 7: Test Cases, Debugging & Code Reusability

Writing Reusable DSA Libraries
Unit Testing (JUnit / PyTest)
Best Practices for Clean Code & Scalability

📍 Module 8: Interview Preparation & Projects

DSA Interview Problems (OOP-based)
Mock Interviews & Discussion
Resume Building with OOP + DSA Projects
GitHub Portfolio Setup

🎯 Why Should You Join This Course?

Learn to solve problems using OOP concepts, just like top developers
Build modular, scalable, reusable code structures
Essential for interview coding rounds & software engineering roles
Strong base to transition into System Design, Backend, and Product Development

💡 Free Career Counseling Includes:

DSA vs Competitive Programming Guidance
Choosing Java, Python, or C++ for OOP DSA
Product-Based Companies Roadmap
Resume + GitHub Portfolio Optimization
Internship & Job Guidance for Tech Roles

💼 Job Opportunities After Course

🔍 Roles You Can Apply For:

Software Developer
DSA Trainer / Mentor
Backend Engineer
Object-Oriented Programmer
Coding Instructor for Bootcamps
System Design Intern

💸 Expected Salary Range (India):

Experience	Role	Avg Salary
0–1 years	OOP/DSA Intern	₹3 – ₹5 LPA
1–3 years	Software Developer / DSA Dev	₹5 – ₹8 LPA
3–5 years	Sr. Backend Dev / System Designer	₹8 – ₹15 LPA

📦 Bonus: What You’ll Get

✅ Real-World Projects with OOP & DSA
✅ Certificate of Completion
✅ Resume Optimisation
✅ Job Referrals (where applicable)

₨ 14000

Recognized Certificate upon completion.
Flexible batch timings – weekends & weekdays.
Real-Time Use Cases & Practical Implementation.
Career Counseling & Guidance Sessions.

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