BCA in Data Science at Vinayaka Missions Sikkim University - Course, Fees, Admission, Seats, Syllabus

Certainly! However, please note that without specific details on the course name you're interested in, I'll provide a generic template for a course syllabus at Vinayaka Missions Sikkim University in a semester-wise format. You can customize the course name, semester details, and syllabus content as needed.

Semester	Course Name	Syllabus Overview
Semester 1	[Course Name]	[Syllabus Details for Semester 1]
Semester 2	[Course Name]	[Syllabus Details for Semester 2]
Semester 3	[Course Name]	[Syllabus Details for Semester 3]
Semester 4	[Course Name]	[Syllabus Details for Semester 4]

Please replace [Course Name] with the actual name of the course and [Syllabus Details for Semester X] with the specific syllabus content for each semester. This template provides a basic structure for a table in HTML, which includes a header row for the semester, course name, and syllabus overview, followed by rows for each semester's details.

As of my recent update in April 2023 the specific details regarding the BCA in Data Science program at Vinayaka Missions Sikkim University (VMSU) may vary due to recent curriculum updates. However a Bachelor of Computer Applications (BCA) in Data Science generally encompasses advanced subjects, in computer science, mathematics and statistics. The program emphasizes data analysis, machine learning and big data technologies.Here are some important subjects commonly covered in a BCA in Data Science course which would also be relevant to programs at VMSU or other institutions; Introduction to Data Science; An overview of the significance and application of data science in various industries. Fundamentals of Programming; Getting started with programming languages like Python, R and SQL that are essential for data science. Mathematics for Data Science; Building an understanding of linear algebra, calculus and statistics for data science algorithms. Data Structures and Algorithms; Exploring different ways to organize and manipulate data using structures like arrays lists, trees and graphs. Database Management Systems; Learning the principles behind database systems SQL and NoSQL databases, data warehousing and data modeling. Data Analysis and Visualization; Techniques for analyzing and visually representing data to extract insights using tools like Tableau or Power BI as well as programming libraries such as Matplotlib and Seaborn in Python. Machine Learning; Introducing machine learning algorithms including learning, unsupervised learning, neural networks and deep learning. Big Data Technologies; Understanding the concepts behind data along with technologies like Hadoop, Spark, their ecosystems used for processing large datasets. Data Mining; Utilizing techniques and tools to discover patterns anomalies associations within extensive datasets. Statistics and Probability; Advanced statistical methods along with probability theory applied to analyze data ad make inferences. Ethics and Data Privacy; Recognizing the considerations associated with handling data as well as privacy laws relevant to the field of data science. Capstone Project; A project that allows students to apply their knowledge skills towards solving real world problems within the realm of data science. These subjects provide a foundation in data science by equipping students with skills necessary for analyzing interpreting deriving insights, from various types of information. To get the up to date and precise information about the BCA in Data Science program, at Vinayaka Missions Sikkim University it is recommended to visit their official website or reach out to the university directly.