BCA in Data Analytics at Swarrnim Startup And Innovation University - Course, Fees, Admission, Seats, Syllabus

As of my recent update in April 2023 the specific course curriculum for the BCA in Data Analytics at Swarrnim Startup And Innovation University may vary depending on the latest academic guidelines and industry trends. However I can provide you with an overview of important subjects typically covered in a Bachelor of Computer Applications (BCA) program with a focus on Data Analytics. These subjects aim to equip students with analytical and business skills necessary for analyzing, managing and interpreting data to make informed decisions. 1. Introduction to Data Analytics; Basics of analyzing data Significance of Data Analytics in todays world Process involved in Data Analytics 2. Fundamentals of Programming; Introduction to programming using Python/R Understanding data structures and algorithms Concepts of Object Oriented Programming 3. Database Management Systems; Fundamental principles of Database Systems Working with SQL and NoSQL databases Exploring Data Warehousing and Data Mining 4. Mathematics and Statistics for Data Science; Descriptive Statistics and Inferential Statistics Utilizing Linear Algebra concepts Applying Calculus principles Understanding Probability Theory 5. Data Visualization; – Principles underlying visualization techniques. – Tools used for visualizing data such as Tableau or Power BI. – Creating dashboards and reports. 6. Machine Learning; – Studying both supervised and unsupervised learning techniques. – Delving into Neural Networks and Deep Learning models. – Exploring Natural Language Processing applications. – Utilizing Predictive Analytics methods. 7. Project based Learning; This phase involves projects where students get hands on experience by applying their knowledge gained throughout the program. Please note that while these topics are commonly included in programs it's important to check the latest curriculum guidelines for the most up, to date and accurate information. Big Data Technologies; Introduction to the concept of Big Data. Utilization of Hadoop and Spark Frameworks. Real time processing of data. 8. Business Intelligence; understanding of Business Intelligence. Implementation of Decision Support Systems. Application of Customer Relationship Management (CRM) Analytics. 9. Ensuring Data Security and Privacy; Implementing Data Governance measures. Addressing ethical concerns in Data Analytics. Fundamentals of Cybersecurity. 10. Capstone Project/Internship; application of data analytics skills in real world projects. Opportunities for industry specific projects or internships to gain hands on experience. Elective Courses; Depending on the chosen program there may be courses available for specialization, such as healthcare analytics, financial analytics, marketing analytics or advanced machine learning techniques. Soft Skills and Professional Development; Developing critical. Problem solving abilities. Enhancing effective communication skills. Gaining knowledge, in project management practices. Please note that it is advisable to refer to the curriculum provided by Swarrnim Startup And Innovation University or contact the university directly for more information.