CBSE Computer Science | Information Practices | Information Technology | Artificial Intelligence | Data Science

Comprehensive Notes

Notes 1

Question Answer

QNA

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Free Study Material at CBSE Python

Python for Class 11 & 12

Python:Introduce students to the versatile world of programming with Python. This course covers the fundamentals of Python programming language, teaching students how to write clean and efficient code. From basic syntax to advanced concepts like data structures and algorithms, students will gain a solid foundation in programming. Practical exercises and real-world applications will reinforce their learning, preparing them for a variety of future endeavors in computer science and software development.

Python Programming

Information Technology for Class 9 to 12

Information Technology

IT (Information Technology): Our IT course for students in classes 9 to 12 focuses on essential skills needed in today’s digital age. Covering topics such as computer hardware, software applications, networking fundamentals, and cybersecurity basics, students will develop a well-rounded understanding of information technology. Practical sessions and hands-on projects ensure that they can apply their knowledge to real-world scenarios. This course equips students with the skills required for both academic success and future careers in the dynamic field of information technology.

Artificial Intelligence for Class 9 to 12

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Artificial Intelligence

Data Science for Class 9 to 12

Data Science cbse

Data Science: Equip students with the skills to unlock insights from data through our Data Science course. This program covers the entire data science pipeline, from data collection and cleaning to analysis and visualization. Students will learn to use tools such as Python, pandas, and Jupyter notebooks for data manipulation and analysis. With a focus on real-world applications, students will be able to derive meaningful conclusions from data sets. This course empowers students with the analytical and technical skills needed for success in the data-driven world of today and tomorrow.

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