Semester | Courses |
---|---|
Semester 1 | Introduction to Data Analytics, Programming Fundamentals, Mathematics for Computer Science, English Communication, Environmental Studies |
Semester 2 | Database Management Systems, Data Structures, Discrete Mathematics, Principles of Management, Organizational Behavior |
Semester 3 | Operating Systems, Web Technologies, Statistical Methods for Data Analysis, Python Programming, Minor Project I |
Semester 4 | Object-Oriented Programming, Machine Learning Basics, Big Data Analytics, Business Intelligence, Minor Project II |
Semester 5 | Advanced Database Management Systems, Data Visualization, Cloud Computing for Data Analytics, Elective I, Major Project I |
Semester 6 | Internet of Things for Data Analytics, Advanced Machine Learning, Elective II, Major Project II, Internship |
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 Modeling |
Data Preprocessing | Data Cleaning, Data Transformation, Data Reduction |
Statistical Methods for Data Analysis | Descriptive Statistics, Inferential Statistics, Hypothesis Testing |
Data Visualization | Principles of Visualization, Tools (Tableau, Power BI), Dashboard Design |
Machine Learning | Supervised Learning, Unsupervised Learning, Model Evaluation |
Big Data Technologies | Hadoop, Spark, Big Data Analytics Tools |