Course Duration | Fees | Mode of Study | Course Level | Institute Type |
3 Years | Varies | Full-time | Undergraduate | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Data Analytics, Mathematics for Data Analytics, Programming in Python, Database Management Systems, Principles of Management, Communication Skills |
Semester 2 | Advanced Python for Data Analytics, Statistical Methods for Data Analysis, Data Visualization Techniques, Object-Oriented Programming with Java, Organizational Behavior, Environmental Studies |
Semester 3 | Machine Learning, Big Data Analytics, Web Technologies, Financial Accounting, Business Data Processing, Soft Skills Development |
Semester 4 | Deep Learning, Cloud Computing for Data Analytics, IoT for Data Analytics, Business Economics, Entrepreneurship Development, Research Methodology |
Semester 5 | Advanced Machine Learning, Data Warehousing and Data Mining, Blockchain for Data Security, Project Management, Cyber Security Fundamentals, Professional Ethics |
Semester 6 | Capstone Project, Artificial Intelligence, Advanced Web Technologies, Elective (Choose any one: Digital Marketing Analytics, HR Analytics, Financial Analytics), Internship |
Module | Important Topics |
---|---|
Introduction to Data Analytics | Basics of Data Analysis, Data Types, Data Analytics Lifecycle |
Programming for Data Analytics | Python/R Programming, Data Structures, Algorithms |
Database Management | SQL, NoSQL, Data Warehousing |
Data Mining | Classification, Clustering, Association Rule Mining |
Big Data Analytics | Hadoop Ecosystem, Spark, Big Data Processing |
Machine Learning | Supervised Learning, Unsupervised Learning, Neural Networks |
Statistical Methods for Data Analysis | Descriptive Statistics, Inferential Statistics, Hypothesis Testing |
Data Visualization | Tableau, Power BI, Data Presentation Techniques |
Business Intelligence | BI Tools, Decision Making, Strategic Planning |
Project Work | Real-world Data Analytics Project, Project Management, Reporting |