Highlight | Detail |
---|---|
Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Rs 1,20,000 |
Mode of Study | Full Time |
Institute Type | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Data Analytics, Programming Fundamentals, Mathematics for Computer Science, English Communication, Environmental Studies |
Semester 2 | Database Management Systems, Data Structures, Object-Oriented Programming, Probability and Statistics, Digital Electronics |
Semester 3 | Operating Systems, Web Technologies, Advanced Database Management Systems, Discrete Mathematics, Introduction to Python Programming |
Semester 4 | Machine Learning, Data Visualization, Big Data Analytics, Computer Networks, Ethics in AI and Data Science |
Semester 5 | Deep Learning, Cloud Computing for Data Analytics, Business Intelligence, Elective 1, Project Work I |
Semester 6 | Advanced Machine Learning, Data Mining, Elective 2, Elective 3, Project Work II |
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 Mining |
Statistical Methods for Data Analysis | Descriptive Statistics, Inferential Statistics, Probability Distributions |
Data Visualization | Principles of Visualization, Tools (Tableau, Power BI), Dashboard Design |
Machine Learning | Supervised Learning, Unsupervised Learning, Neural Networks |
Big Data Technologies | Hadoop, Spark, Big Data Analytics |
Business Intelligence | BI Concepts, Tools, Strategic Decision-Making |
Capstone Project | Project Design, Implementation, Evaluation |