Course Duration | 3 Years |
---|---|
Course Level | Undergraduate |
Course Tuition Fees | Varies |
Mode of Study | Full Time |
Institute Type | Private |
Semester | Subjects |
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Semester 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Data Analytics, English Communication, Computer Fundamentals and Office Automation |
Semester 2 | Object-Oriented Programming, Database Management Systems, Data Structures, Environmental Studies, Principles of Management |
Semester 3 | Operating Systems, Web Technologies, Advanced Database Management Systems, Statistical Methods for Data Analysis, Soft Skills |
Semester 4 | Computer Networks, Big Data Analytics, Machine Learning, Financial Accounting, Project Work (Minor) |
Semester 5 | Cloud Computing, Data Visualization, Python Programming, Elective 1, Elective 2 |
Semester 6 | Advanced Machine Learning, Business Intelligence, Elective 3, Project Work (Major), Internship |
Module | Important Topics |
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Introduction to Data Analytics | Basics of Data Analysis, Data Types, Data Analytics Process |
Programming for Data Analytics | Python/R Programming, Data Structures, Control Structures |
Statistical Methods for Data Analysis | Descriptive Statistics, Inferential Statistics, Probability Distributions |
Data Visualization | Principles of Data Visualization, Tools (Tableau, Power BI), Dashboard Design |
Database Management | SQL, NoSQL, Database Design, Data Warehousing |
Machine Learning | Supervised Learning, Unsupervised Learning, Model Evaluation |
Big Data Analytics | Hadoop, Spark, Big Data Processing Frameworks |
Business Intelligence | BI Concepts, Tools, Strategic Decision-Making |
Project Work | Real-world Data Analytics Project, Project Management, Reporting |