BCA in Data Science at Graphic Era University - Course, Fees, Admission, Seats, Syllabus

As of my update in April 2023 I'm unable to provide you with the most recent and specific course syllabi for institutions like Graphic Era (Deemed to be University). It's important to note that course offerings, syllabi and academic programs can change over time. To obtain the accurate and up to date information its recommended to visit the universitys official website or reach out directly to their admissions or academic office. However a Bachelor of Computer Applications (BCA) program with a specialization in Data Science generally includes a variety of subjects aimed at providing students with a foundation in computer applications with a focus on data science. Although I don't have access to the syllabus for Graphic Era Universitys BCA program in Data Science I can provide you with an overview of typical subjects that are commonly included; 1. **Programming Fundamentals**; Introduction to programming languages like Python, which is extensively used in data science. 2. **Mathematics for Data Science**; Covering mathematical concepts such as statistics, probability, linear algebra and calculus that are fundamental for understanding data science algorithms. 3. **Database Management Systems (DBMS)**; Exploring database structures SQL, for querying databases and managing datasets. 4.In the field of data science it is crucial to have an understanding of data structures such as arrays, lists, trees and graphs. Additionally learning about algorithms that efficiently process and analyze data is essential. Machine learning algorithms play a role in data science. They are used for applications and can be categorized into supervised and unsupervised learning methods. In order to handle data effectively it is important to familiarize oneself with technologies like Hadoop and Spark. These frameworks are widely used for processing. Analyzing large datasets. Data visualization techniques and tools are vital for conveying insights derived from data analysis. It helps in presenting information in an appealing manner. Data mining methods enable us to extract information from extensive datasets. This process involves identifying patterns or relationships within the data. The ethical considerations and legal aspects surrounding data privacy, protection and usage should not be overlooked in the field of data science. Understanding these factors is essential for handling of data. Many programs conclude with a capstone project where students have the opportunity to apply their knowledge to real world problems in the field of data science. For accurate information about the BCA in Data Science program, at Graphic Era (Deemed to be University) please visit their official website or reach out directly to the university. They can provide you with details, about the syllabus, which includes descriptions of the courses the number of credit hours each course carries and any elective choices that you may have.