B.Tech Data Science

Calculus, algebra, differential equations, and engineering problem-solving notes.

Python syntax, OOP, libraries, and practical examples.

Presentation, writing, speaking, and academic communication practice.

Structured notes, topic map, and quick revision support.

Core structures, complexity, coding patterns, and viva prep.

Database foundations, tables, relationships, and SQL essentials.

Statistics, analytics, machine learning, and data workflow concepts.

Problem solving methods, complexity analysis, and exam-focused notes.

Structured notes, topic map, and quick revision support.

Structured notes, topic map, and quick revision support.

Structured notes, topic map, and quick revision support.

OSI, TCP/IP, routing, protocols, and networking basics.

Structured notes, topic map, and quick revision support.

Cloud models, deployment, services, and modern infrastructure basics.

Structured notes, topic map, and quick revision support.

Structured notes, topic map, and quick revision support.

Structured notes, topic map, and quick revision support.

Execution planning, documentation, review cycles, and presentation support.

Structured notes, topic map, and quick revision support.

Structured notes, topic map, and quick revision support.

Structured notes, topic map, and quick revision support.

Structured notes, topic map, and quick revision support.

Structured notes, topic map, and quick revision support.

Structured notes, topic map, and quick revision support.