BCA in Data Analytics at Swift Group of Colleges - Course, Fees, Admission, Seats, Syllabus

**Duration of the Course**; Typically the course lasts for 3 years. **Level of the Course**; It is a program. **Tuition Fees**; The tuition fees vary depending on the institution. For the current and accurate information it is recommended to visit the official website of Swift Group of Colleges or contact them directly. **Study Mode**; The course's offered on a full time basis. **Type of Institute**; The institute is privately owned. Please be aware that the information provided in this table is based on knowledge about BCA programs in Data Analytics and institutions similar, to Swift Group of Colleges. For the precise and current details it is advisable to refer to the official website of Swift Group of Colleges or get in touch with them directly.

Semester	Subjects
Semester 1	Subject 1, Subject 2, Subject 3, ...
Semester 2	Subject 1, Subject 2, Subject 3, ...
Semester 3	Subject 1, Subject 2, Subject 3, ...
Semester 4	Subject 1, Subject 2, Subject 3, ...
Semester 5	Subject 1, Subject 2, Subject 3, ...
Semester 6	Subject 1, Subject 2, Subject 3, ...

Please replace "Subject 1, Subject 2, Subject 3, ..." with the actual subjects taught in each semester of the BCA in Data Analytics program at Swift Group of Colleges. This is a simple table structure, and you might need to adjust it based on the actual syllabus details you have, including adding more rows or columns for additional semesters, lab sessions, or elective courses as required.

Based on my recent update in April 2023 the specific course outlines for the BCA in Data Analytics at Swift Group of Colleges or any other educational institution may vary depending on factors like the academic year, faculty preferences and changing industry norms. However I can offer an overview of key subjects typically included in a Bachelor of Computer Applications (BCA) program with a focus on Data Analytics. These topics aim to provide students with the skills and knowledge to effectively analyze, manage and interpret large datasets; **Introduction to Data Analytics**; This covers the fundamentals of data analysis, including different types of data processes involved and the importance of data analytics in todays digital landscape. **Programming Fundamentals**; Students learn programming languages like Python and R that are crucial for data analysis. The focus is on techniques, for manipulating data visualizing information and performing analysis. **Database Management Systems (DBMS)**; This involves understanding how database systems work to store and manage data efficiently. Covering the basics of database systems using SQL for data queries and handling datasets with NoSQL databases. Data Structures and Algorithms; Learning how to efficiently store, manage and process data using different structures like arrays, lists, trees and graphs along with algorithms. Statistics for Data Science; Studying methods and probability to analyze data effectively. This includes statistics, inferential statistics, hypothesis testing and regression analysis. Machine Learning; Introduction to machine learning algorithms used in data analytics such as learning, unsupervised learning, neural networks and deep learning. Big Data Technologies; Exploring technologies like Hadoop and Spark for processing datasets efficiently. Data Visualization; Using tools like Tableau, Power BI, Matplotlib and Seaborn to represent data visually for effective communication of insights. Data Mining; Understanding how to discover patterns in large datasets through techniques like association rule learning, clustering and classification. Business Intelligence; Exploring how data analytics can aid decision making processes in business through dashboards reporting tools,data warehousing. Ethics and Data Privacy; Discussion on the considerations in data analytics including privacy laws,data protection,responsible use of data. Capstone Project/Internship;. Applying learned skills from coursework, in real world projects or internships gaining experience.