BCA in Data Science at Inmantec Institutions - Course, Fees, Admission, Seats, Syllabus

Certainly! Below is a simple HTML table in a single line format that outlines a hypothetical semester-wise syllabus for a BCA in Data Science course at Inmantec Institutions. Please note that this is a generic example and the actual syllabus might differ.

Semester	Subjects
Semester 1	Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies
Semester 2	Database Management Systems, Data Structures and Algorithms, Object-Oriented Programming, Probability and Statistics, Human Values and Ethics
Semester 3	Operating Systems, Web Technologies, Python for Data Science, Linear Algebra, Business Communication
Semester 4	Machine Learning, Big Data Analytics, Artificial Intelligence, Discrete Mathematics, Minor Project
Semester 5	Deep Learning, Cloud Computing for Data Science, Data Visualization, Elective I, Industrial Training
Semester 6	Advanced Machine Learning, Data Science Project Management, Elective II, Major Project, Seminar on Emerging Technologies

This table includes a header row with "Semester" and "Subjects" as column titles, followed by rows for each semester, listing the subjects taught in that semester. Remember, this is a simplified example, and actual course offerings, subject names, and the structure may vary. Always refer to the official Inmantec Institutions curriculum for the most accurate and up-to-date information.

In my recent update in April 2023 the specific course details for the BCA program in Data Science at Inmantec Institutions may vary due to regular updates made by academic institutions to align with technological advancements and industry requirements. Nonetheless I can offer an overview of key subjects typically included in a BCA program specializing in Data Science. These subjects aim to provide students with a foundation in computer applications and the specialized field of data science; **Introduction to Data Science**; Exploring the fundamentals of data science, its importance and its application across sectors. **Fundamentals of Programming**; Acquiring knowledge of programming languages like Python and R crucial for data analysis and manipulation. **Mathematics for Data Science**; Delving into mathematical principles such as statistics, probability, linear algebra and calculus essential, for data modeling and analysis. **Database Management Systems (DBMS)**; Understanding the principles behind managing databases In this course you'll delve into the intricacies of databases exploring SQL for managing data **Exploring Data Structures and Algorithms**; You'll dive into data structures such as arrays, lists, stacks, queues, trees and graphs. Additionally you'll learn about algorithms that streamline data processing and analysis. **Visualizing Data**; Discover techniques and tools for presenting data using libraries like Matplotlib and Seaborn along with tools like Tableau. **Introduction to Machine Learning**; Get familiar with machine learning algorithms. Supervised reinforcement learning. Explore their applications and how to implement them. **Navigating Big Data Technologies**; Gain insights into data concepts challenges involved and technologies like Hadoop and Spark used for managing large datasets effectively. **Unveiling Data Mining Techniques**; Learn about processes that help extract patterns or information from extensive datasets. **Getting Started with Artificial Intelligence (AI)**; Understand the fundamentals of AI and how it integrates with data science to create systems. **Utilizing Cloud Computing in Data Science**; Be introduced to cloud platforms such as AWS, Azure and Google Cloud Platform for storing, processing and analyzing data efficiently. **Ethical Considerations in Data Handling**; Explore the aspects and privacy laws associated with handling and analyzing data responsibly. **Engaging in a Capstone Project**; Apply your knowledge gained throughout the course, to real world data science challenges through a hands on project experience. Please keep in mind that the actual course content may cover specific or additional topics. Its always recommended to visit the Inmantec Institutions website or reach out to the institution directly to stay updated on the most recent curriculum changes.