| Course Duration | 3 Years |
|---|---|
| Course Level | Undergraduate |
| Approximate Course Tuition Fees | INR 1.5 Lakhs (Per Year) |
| Mode of Study | Full Time |
| Institute Type | Private |
| Semester | Course Name | Syllabus Details |
|---|---|---|
| Semester 1 | Introduction to Course | Overview, Basics, and Fundamentals |
| Semester 2 | Advanced Topics in Course | Deep Dive into Specific Areas |
| Semester 3 | Applied Course Concepts | Practical Applications and Case Studies |
| Semester 4 | Course Research Project | Research Methodologies and Project Work |
| Module | Important Topics |
|---|---|
| Introduction to Data Analytics | Basics of Data Analysis, Data Types, Data Analytics Process |
| Programming for Data Analytics | Python/R Programming, Data Structures, Algorithms |
| Database Management Systems | SQL/NoSQL Databases, Database Design, ER Models |
| Data Warehousing and Data Mining | Data Warehousing Concepts, OLAP, Data Mining Techniques |
| Statistical Methods for Data Analysis | Descriptive Statistics, Inferential Statistics, Probability Distributions |
| Machine Learning | Supervised Learning, Unsupervised Learning, Reinforcement Learning |
| Big Data Analytics | Hadoop Ecosystem, Spark, Big Data Processing Techniques |
| Data Visualization | Principles of Data Visualization, Tools (Tableau, Power BI) |
| Business Intelligence | BI Concepts, Decision Making, Strategic Management |
| Capstone Project | Real-world Data Analytics Project, Project Management, Reporting |
