BCA in Cloud Computing at Chameli Devi Group of Institutions - Course, Fees, Admission, Seats, Syllabus

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Course Duration	3 Years
Course Level	Undergraduate
Course Tuition Fees	Rs [Insert Fees Here]
Mode of Study	[Insert Mode Here]
Institute Type	[Insert Type Here]

Please replace the placeholders (e.g., [Insert Fees Here], [Insert Mode Here], [Insert Type Here]) with the actual information regarding the BCA in Cloud Computing program at Chameli Devi Group of Institutions.

According to my update in April 2023 I currently don't have access to real time databases or specific course syllabi specifically for the BCA in Data Analytics program at Arni University. However I can provide you with an overview of what a typical BCA program in Data Analytics might consist of based on common course content found in similar programs. Please note that for the accurate and up to date syllabus information it is recommended to consult Arni Universitys official website or directly contact the university. General Outline for BCA in Data Analytics; Year 1; Introduction to Programming; This course covers the fundamentals of programming languages like C or Python. Mathematics for Computer Science; This includes topics such as mathematics, calculus and basics of statistics. Computer Fundamentals and Office Automation; An introduction, to computer hardware, software and office productivity tools. Principles of Data Analytics; A comprehensive overview of data analytics its significance and various applications. Database Management Systems; Basics of DBMS understanding SQL queries and designing databases. Communication Skills; Enhancing both verbal and written communication abilities. Year 2; **Data Structures and Algorithms**; Gain insights into techniques and structures used for efficient handling and processing of data. **Operating Systems**; Explore the fundamentals of operating systems including their architecture and various functionalities. **Object Oriented Programming**; Dive into programming concepts using popular languages like Java or Python. **Web Technologies**; Get introduced to the basics of HTML, CSS, JavaScript and frameworks used in web development. **Statistical Methods, for Data Analysis**; Delve into statistical tools and techniques used for comprehensive data analysis. **Software Engineering**; Understand the software development lifecycle methodologies involved and project management practices. **Big Data Analytics**; This course provides an introduction to the concepts, tools and technologies related to big data, including Hadoop and Spark. **Machine Learning**; In this module students will learn the basics of machine learning algorithms and how they can be applied in the field of data analytics. **Data Visualization**; The course covers techniques and tools that are used for visualizing data in order to gain meaningful insights from it. **Cloud Computing for Data Analytics**; Students will get an overview of cloud computing platforms and their role, in storing and processing volumes of data. **Capstone Project**; As part of this project students will have the opportunity to apply their knowledge and skills to solve real world problems in the field of data analytics. **Internship**; This program also includes a work experience component where students can gain hands on experience in the industry while working on real data analytics projects.