BCA in Data Science at Niis Group Of Institutions - Course, Fees, Admission, Seats, Syllabus

As of my update in April 2023 I don't have access to real time databases or specific course syllabi for institutions like the Niis Group Of Institutions. The syllabi for courses can vary significantly among institutions and even within the institution from year to year. However I can give you an overview of what a Bachelor of Computer Applications (BCA) program in Data Science might cover. This should give you an idea of the subjects and areas of study typically included in such a program. For the accurate and up to date syllabus I recommend reaching out, to the Niis Group Of Institutions directly or visiting their official website. In the year of your programming journey you will learn the basics of programming languages like Python or Java. You'll also dive into mathematics for computer science, which includes topics such as mathematics, calculus and statistics. Additionally you'll gain an understanding of computer fundamentals and office automation covering hardware, software and used tools. Moving on to the year you'll explore advanced programming concepts that go beyond the basics. This may include data structures and algorithms. You'll also delve into operating systems to understand how they work and their different architectures. In addition to that you'll learn about data analysis and visualization techniques using tools. Machine learning will also be introduced to give you a foundation in its algorithms and applications in data science. Web technologies will be covered well so that you can develop web applications for handling data effectively. Lastly advanced statistical methods for data analysis will be explored. In your year of study further specialization awaits with more advanced topics in programming languages like C++ or Java frameworks, like Spring Boot or Hibernate. **Technologies for Handling Big Data**; Gain an understanding of the technologies used to manage and process large sets of data, such as Hadoop and Spark. **Introduction to Deep Learning and Neural Networks**; Explore the fundamentals of learning and how neural networks are utilized in different applications. **Managing Data Science Projects**; Learn the skills for effectively planning, executing and delivering data science projects. **Ethics and Legal Considerations, in Data Science**; Understand the implications and legal aspects involved when working with data in a responsible manner. **Real World Capstone Project**; Apply your acquired knowledge to solve a data science problem through a hands on project experience. **Elective Courses**; Depending on the program you may have the opportunity to choose from a range of courses that allow you to specialize in specific areas.