This course is designed to teach students how to analyze different types of data using Python. Students will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations and predict future trends from data.
The course provides a comprehensive introduction to microprocessors, focusing on the Intel 8085 architecture, instruction set, and operation. It also covers essential hardware components such as motherboards, memory types, system buses, and hard disk operations, equipping students with foundational knowledge in computer hardware systems.
The course offers an in-depth understanding of network fundamentals, data communication, and transmission techniques. It covers OSI and TCP/IP models, switching methods, network protocols, error control, wired and wireless LANs, IP addressing, and key application layer protocols, along with basic network security concepts such as firewalls and cryptography.
The course provides a foundational understanding of web development technologies. The course covers HTML, CSS, and JavaScript for client-side development, and PHP for server-side scripting including form handling, functions, sessions, and error handling. It also introduces MySQL for database operations and explains how to integrate PHP with MySQL to build dynamic web applications.
The course introduces the basics of cloud technologies, covering cloud evolution, virtualization, architecture, and major platforms like AWS, Google App Engine, and Azure. It also includes Aneka-based application development and data-intensive computing using MapReduce.
The course provides an overview of data mining concepts, including data warehousing, association rules, classification, clustering, and mining complex data types like text, web, and multimedia, with a focus on practical algorithms and pattern discovery.