BCA in Data Analytics at MDSU - Course, Fees, Admission, Seats, Syllabus

Sure, I'll provide a simplified example based on typical topics you might find in a BCA in Data Analytics program. However, please note that for the most accurate and up-to-date syllabus, you should refer directly to Maharshi Dayanand Saraswati University's official resources or website. The topics listed below are generic and intended to give you an idea of what might be covered in such a program.

Course Module	Important Topics
Introduction to Data Analytics	Basics of Data Analytics, Data Types, Data Analytics Process
Programming for Data Analytics	Python/R Programming, Data Structures, Algorithms
Database Management	SQL, NoSQL, Data Warehousing
Data Visualization	Tableau, Power BI, Data Representation Techniques
Statistics for Data Analytics	Descriptive Statistics, Inferential Statistics, Probability
Machine Learning	Supervised Learning, Unsupervised Learning, Neural Networks
Big Data Technologies	Hadoop, Spark, Big Data Analytics Tools
Data Mining	Data Mining Techniques, Applications of Data Mining
Business Intelligence	BI Tools, Decision Making Process, Strategic Planning

This table provides a basic framework of topics that are commonly found in Data Analytics courses. The specific curriculum and topics at Maharshi Dayanand Saraswati University may vary, so it's essential to consult the university's course catalog or speak with an academic advisor for the most accurate information.