Course Duration | Course Level | Course Fee | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies | Full-time | Private |
Module | Important Topics |
---|---|
Introduction to Data Analytics | Overview of Data Analytics, Importance of Data Analytics in Business |
Programming for Data Analytics | Python Programming, R Programming |
Database Management | SQL for Data Analytics, NoSQL Databases |
Data Preprocessing | Data Cleaning, Data Transformation, Data Reduction |
Data Visualization | Using Tableau, Using Power BI |
Statistical Methods for Decision Making | Descriptive Statistics, Inferential Statistics |
Machine Learning | Supervised Learning, Unsupervised Learning |
Big Data Analytics | Hadoop Ecosystem, Spark for Big Data |