Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by year and domicile status | Full-time | Private |
Semester | Subjects |
---|---|
1st Semester | Introduction to Data Analytics, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies |
2nd Semester | Database Management Systems, Data Structures, Statistical Methods for Data Analysis, Business Communication, Indian Constitution |
3rd Semester | Operating Systems, Object-Oriented Programming, Data Visualization, Linear Algebra, Elective I |
4th Semester | Machine Learning, Big Data Analytics, Web Technologies, Discrete Mathematics, Elective II |
5th Semester | Deep Learning, Cloud Computing for Data Analytics, Project Work I, Elective III, Elective IV |
6th Semester | Internship/Project Work II, Elective V, Elective VI |
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, Control Structures |
Database Management | SQL, NoSQL, Data Warehousing, Data Mining |
Data Visualization | Principles of Visualization, Tools (Tableau, Power BI), Dashboard Design |
Statistics for Data Analytics | Descriptive Statistics, Inferential Statistics, Probability Distributions |
Machine Learning | Supervised Learning, Unsupervised Learning, Model Evaluation |
Big Data Technologies | Hadoop, Spark, Big Data Analytics Tools |
Capstone Project | Real-world Data Analytics Project, Project Management, Reporting |