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

Sure, I'll provide a simplified version of what a syllabus for a BCA in Data Science at Surya Group Of Institutions might look like in a single-line HTML format. Please note, for a detailed and accurate syllabus, you should refer to the official documentation or website of the Surya Group Of Institutions. This example is generic and created for illustrative purposes.

Year	Semester	Subjects
1st Year	Semester 1	Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English for Communication, Environmental Studies
1st Year	Semester 2	Statistics for Data Science, Database Management Systems, Python Programming, Organizational Behavior, Digital Electronics
2nd Year	Semester 3	Data Structures and Algorithms, Machine Learning Basics, Web Technologies, Operating Systems, Soft Skills Development
2nd Year	Semester 4	Advanced Database Management Systems, Big Data Analytics, Object-Oriented Programming with Java, Business Intelligence, Cyber Security Fundamentals
3rd Year	Semester 5	Deep Learning, Cloud Computing for Data Science, Data Visualization, Elective I, Project Work I
3rd Year	Semester 6	Artificial Intelligence, Internet of Things (IoT) for Data Science, Elective II, Project Work II, Internship

This table structure includes a basic layout with three columns for the Year, Semester, and Subjects. Each row after the header row represents a different semester and lists subjects that might be part of a BCA in Data Science program. Remember, this is a generic example and the actual syllabus may vary.

Based on my recent check in April 2023 the exact course information for the Data Science program within Surya Group Of Institutions or any other college may differ depending on the academic plan modifications and the specific areas of focus selected by each institution. Nevertheless a Bachelor of Computer Applications (BCA) in Data Science generally includes more advanced subjects, in computer science, statistics and data analysis. Here are some key subjects often covered in programs; **Introduction to Data Science**; An overview of data science, its importance and its applications across different fields. **Programming Basics**; Introduction to programming languages crucial for data science like Python and R. **Mathematics for Data Science**; Topics include algebra, calculus and statistics that form the foundation for understanding data science algorithms. **Database Management Systems (DBMS)**; Understanding how databases function using SQL for data manipulation and exploring NoSQL databases for data tasks. **Data. Algorithms**; Crucial for optimizing data processing and analysis. **Data Preprocessing and Cleaning**; Techniques for managing missing data, noise issues and preparing data for analysis. **Data Visualization**; Methods and tools like Matplotlib, Seaborn and Tableau used to visualize data for insights. **Machine Learning**; Covering supervised and unsupervised learning methods including algorithms such as linear regression, logistic regression, decision trees, clustering techniques and neural networks. **Deep Learning**; Introducing learning frameworks like CNNs (Convolutional Neural Networks) and RNNs (Recurrent Neural Networks). **Big Data Technologies**; Understanding technologies like Hadoop and Spark used in processing datasets efficiently. **Data Analytics**; Techniques and tools employed in analyzing data to support business decision making processes. **Ethics and Data Privacy**; Exploring considerations alongside privacy laws pertinent to the field of data science. Please keep in mind that specific course titles may vary well as the depth of coverage, on each topic. Make sure to consult the curriculum from Surya Group Of Institutions or the particular institution that offers the BCA program, in Data Science for the latest and most accurate details.