BCA in Data Analytics at Ponnaiyah Ramajayam Institute of Science and Technology - Course, Fees, Admission, Seats, Syllabus

As of my last update in April 2023, I don't have access to real-time databases or specific course syllabi for institutions, including the Ponnaiyah Ramajayam Institute of Science and Technology (PRIST) University. However, I can provide you with a generic example of what a semester-wise syllabus for a BCA in Data Analytics might look like in a single-line HTML table format. Please note that for the most accurate and up-to-date syllabus, you should consult the official PRIST University website or contact the university directly.

Semester	Subjects
Semester 1	Introduction to Programming, Mathematics for Computer Science, Introduction to Data Analytics, Principles of Management, English for Communication
Semester 2	Object-Oriented Programming, Database Management Systems, Statistical Methods for Data Analysis, Organizational Behavior, Environmental Studies
Semester 3	Data Structures and Algorithms, Operating Systems, Data Visualization Techniques, Business Economics, Soft Skills Development
Semester 4	Computer Networks, Big Data Analytics, Machine Learning Basics, Financial Accounting, Entrepreneurship Development
Semester 5	Web Technologies, Advanced Database Management Systems, Predictive Analytics, Elective I, Project Work - I
Semester 6	Cloud Computing for Data Analytics, Advanced Machine Learning, Elective II, Elective III, Project Work - II

This table is a simplified and generic representation. The actual syllabus may include more detailed descriptions, additional subjects, lab work, internships, or project details specific to PRIST University's curriculum for a BCA in Data Analytics. Electives can vary widely and might include topics like Natural Language Processing, Internet of Things (IoT) Analytics, Blockchain for Data Security, etc. Always refer to the official curriculum for the most accurate information.

As of my recent update in April 2023 specific course information for the BCA program in Data Analytics at Ponnaiyah Ramajayam Institute of Science and Technology (PRIST) University may not be readily accessible outside of consulting the universitys official curriculum. Nonetheless a BCA program in Data Analytics generally covers subjects aimed at providing students with the essential skills and knowledge in the realms of data analytics and computer applications. Here are some key topics commonly included in programs; **Introduction to Data Analytics**; Grasping the fundamentals of data analysis encompassing types, processes and the significance of data analytics in todays context. **Fundamentals of Programming**; Mastering programming languages crucial for data analytics like Python, R or Java with a focus, on manipulating and analyzing data. **Database Management Systems (DBMS)**; Understanding how DBMS operates to manage volumes of structured data effectively.Exploring the structure, models and administration of databases, which includes using SQL to retrieve data. **Data. Algorithms**; Studying various data structures like arrays lists, stacks, queues, trees and graphs alongside algorithms for efficient data processing and analysis. **Statistics for Data Science**; Covering techniques and probability theory essential for analyzing and making sense of data. **Data Visualization**; Learning about methods and tools to visually represent data using platforms like Tableau, Power BI or matplotlib in Python to convey insights **Big Data Analytics**; An introduction to data principles technologies such as Hadoop and Spark as well as techniques for handling large datasets. **Machine Learning**; Basics of machine learning algorithms including learning, unsupervised learning and reinforcement learning along with their applications in data analysis. **Data Mining**; Exploring methods and tools for uncovering patterns, associations, anomalies, changes and other significant information within datasets. **Business Intelligence**; Understanding how tools for data analysis,data visualization and data management can aid decision making processes in business settings. **Ethics and Privacy, in Data Analytics**; Delving into the considerationsand privacy issues surrounding the collection,analysis and use of data. **Capstone Project/Internship** ; Gaining experience through a project or internship that enables students to apply their knowledgeandskills todoreal worlddata analytics challenges. For the updated details regarding the BCA coursein DataAnalytics offered by Ponnaiyah Ramajayam Institute of Scienceand Technology it's advisableto refer tothe universitys official website or reach outtothe admissions office directly. "I'm ready to provide the paraphrased text just let me know when you're ready."