BCA in Data Analytics at DAV University Jalandhar - Course, Fees, Admission, Seats, Syllabus

As of my update in April 2023 I don't have access to real time databases or specific university syllabi like the one for the Bachelor of Computer Applications (BCA) in Data Analytics at DAV University. University curriculums and course offerings can vary a lot. Might change based on academic reviews, industry demands and advancements in technology. However I can give you an idea of what a BCA in Data Analytics program could include. This outline is based on subjects and topics covered in similar programs offered by different institutions. For the accurate and up, to date syllabus it's best to consult DAV Universitys official website or contact the university directly. In the year of your computer science program you will cover essential topics such as programming languages (like C or Python) mathematics for computer science (including discrete mathematics, calculus and statistics) computer fundamentals and office automation (which includes learning about hardware, software and commonly used office productivity tools) principles of management (providing an overview of management principles and practices) communication skills (with a focus on improving written and verbal communication abilities) and database management systems (where you'll be introduced to databases, SQL and data organization). Moving on to the year you will delve into more advanced subjects like data structures and algorithms (exploring how data is organized, manipulated and optimized through algorithms) operating systems fundamentals (learning about the functions, types and management of operating systems) web technologies (introducing HTML, CSS, JavaScript along with web development principles) object oriented programming (a comprehensive study of OOP concepts using languages like Java or Python) software engineering basics (covering the software development life cycle methodologies and project management skills) as well as statistics and probability relevant, to data analysis. In the year of your program... [the rest is omitted for brevity] **Data. Visualization**;. Tools used for analyzing and visually representing data. **Big Data Technologies**; Introduction to the concepts of big data, including Hadoop and other related tools. **Machine Learning**; Fundamentals of machine learning algorithms and their practical applications. **Cloud Computing**; An overview of cloud services, different models and their applications, in the field of data analytics. **Project Work**; Completion of a project that involves either developing a software solution or conducting an extensive data analysis study.