BCA in Data Analytics at Raisoni Group of Institutions - Course, Fees, Admission, Seats, Syllabus

Based on my update in April 2023 I currently don't have access to the specific up to date syllabi of courses offered by the Raisoni Group of Institutions or any other institution. It's important to note that course syllabi can vary significantly between institutions and may undergo changes over time to incorporate advancements in the field. However I can provide you with an overview of what a Bachelor of Computer Applications (BCA) program with a focus, on Data Analytics might generally include. This outline is based on typical course content found in BCA Data Analytics programs. For the syllabus details it would be best to refer to the official Raisoni Group of Institutions website or directly contact them. **Introduction to Programming**; This course covers the basics of programming languages such as Python or Java. **Mathematics for Computer Science**; This course includes topics in discrete mathematics, calculus and statistics that are relevant to computer science. **Computer Fundamentals and Office Automation**; In this course you will learn about the essentials of computer hardware, software and used tools in office settings. **Principles of Data Analytics**; This course provides an introduction, to the field of data analytics exploring its scope and various applications. **Database Management Systems**; Here you will learn the fundamentals of database systems including SQL and data modeling techniques. **Communication Skills**; This course focuses on improving both written communication abilities. I will be studying the workings of operating systems and their architecture. Additionally I will be introduced to HTML, CSS, JavaScript and web development frameworks as part of my studies in web technologies. In the field of data analysis I will learn statistics, probability concepts and how they are applied. Data visualization techniques and tools for analyzing data will also be covered. Machine learning algorithms and their practical applications will make up a portion of my coursework. Moving on to my year I'll delve into big data analytics which includes an introduction to concepts like Hadoop and Spark. Furthermore I'll gain an understanding of cloud computing platforms and how they are used for storing and processing datasets for data analytics purposes. Advanced database management focusing on NoSQL databases data warehousing and data mining is also included in the curriculum. To enhance my project management skills along with leadership abilities and teamwork capabilities in the context of data analytics projects is another module offered. In order to apply the knowledge gained throughout my studies to real world problems in the field of data analytics there is a capstone project that allows me to put theory into practice. The elective courses available may vary depending on the institution. Some options include Internet of Things (IoT) and its connection with data analytics as well, as Blockchain technology.

Core Subjects	Elective/Advanced Topics
Programming Fundamentals	Machine Learning
Database Management Systems	Big Data Analytics
Data Structures	Artificial Intelligence
Mathematics for Computer Science	Data Visualization
Operating Systems	Cloud Computing for Data Analytics
Software Engineering	Advanced Database Management Systems
Web Technologies	Business Intelligence
Statistics and Probability	Internet of Things (IoT) and Analytics

This table is a simplified representation and the actual curriculum may include more specific subjects, lab work, projects, and electives. Always refer to the official curriculum for the most accurate and detailed information.