Key Highlights:
- 50+ hours of beginner-to-advanced, self-paced learning content.
- Hands-on practice with real datasets and business case studies.
- Weekly assignments, interview prep questions, and bonus exam-based practice sets.
- Career guidance for roles like SDE, Data Analyst, ML Engineer, Business Analyst, and Data Scientist.
What Will You Learn?

OOP Fundamentals
Object-oriented design, UML diagrams, and core design principles.

Object-oriented Design Principles
Master SOLID and GRASP principles with industry-standard design patterns.

Scalable Architecture
Designing scalable systems using load balancers, caching, queues, and databases.

Data Architecture
Data modeling, sharding, replication, indexing, and consistency strategies.

System Design Frameworks
End-to-end system design using structured frameworks and real-world scenarios.