BCA in Data Analytics at NIMAS - Course, Fees, Admission, Seats, Syllabus

As of my update in April 2023 I don't have direct access to the latest or specific course syllabi for programs like the BCA in Data Analytics offered by NIMAS or any other institution. It's important to note that course syllabi can vary significantly between institutions and from year to year within the same program. However I can give you an overview of the topics and subjects typically covered in a Bachelor of Computer Applications (BCA) program with a specialization in Data Analytics. This should provide you with an understanding of what to expect but for the most accurate and up, to date information I suggest reaching out directly to NIMAS or visiting their official website. **Introduction to Programming**; This course covers the fundamentals of programming languages such as C or Python. **Mathematics for Computer Science**; This course includes topics like mathematics, calculus and statistics that are essential for computer science. **Computer. Office Automation**; In this course you will learn about the basics of computer hardware, software and used software tools. **Principles of Management**; Gain an introduction to management principles and practices in this course. **Database Management Systems**; Learn the basics of databases, SQL and data organization, in this course. **Web Technologies**; Get introduced to HTML, CSS and JavaScript in this course. To have a grasp on efficiently organizing, storing and manipulating data it's important to delve into various subjects. These include understanding how operating systems work, such as processes, memory management and file systems. Additionally getting familiar with software engineering basics like software development processes, methodologies and project management is crucial. Exploring object oriented programming concepts using languages like Java or C++ can provide an in depth understanding of OOP. Statistical methods and probability theory relevant to data analysis are also areas to focus on. Lastly gaining knowledge in data analysis techniques and visualization tools can help analyze and present data. Moving into the year of study entails exploring more advanced topics. This includes delving into the basics of machine learning algorithms and their applications. Understanding data concepts along with tools like Hadoop for analytics purposes is another essential aspect. Gaining knowledge in techniques and tools for extracting patterns and insights from datasets through data mining is also crucial. Additionally learning about cloud computing services architecture and its applications in data analytics is beneficial. As part of the curriculum requirement during this year students typically undertake a project that involves developing a software solution or conducting detailed data analysis. The elective courses vary depending on the program. May include subjects such, as advanced database management systems or Internet of Things (IoT).

As of my update in April 2023 I don't have the exact details of the curriculum for the BCA in Data Analytics program at NIMAS or any other institutions real time course information. However I can give you an overview of the key subjects typically covered in a BCA (Bachelor of Computer Applications) program with a specialization in Data Analytics. This overview should provide you with an understanding of the topics you can expect to study. For up to date information please refer to NIMAS' official website or contact their administration directly. In the year you will be introduced to programming, mathematics for computing basics of data analytics and database management systems. Moving on to the year advanced programming, data structures and algorithms statistical methods for data analysis and data visualization techniques will be covered. Finally in your year you'll delve into machine learning, big data analytics, data mining and complete a capstone project focused on data analytics. Please note that this concise breakdown follows a structure for a BCA program with an emphasis, on Data Analytics. However keep in mind that course content and structure may vary among institutions. Therefore it is important to validate details directly with NIMAS.