Course Duration | Fees | Mode of Study | Course Level | Institute Type |
3 Years | Varies | Full-time | Undergraduate | Private |
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 |
Data Visualization | Tableau, Power BI, Data Representation Techniques |
Statistics for Data Analytics | Descriptive Statistics, Inferential Statistics, Probability |
Machine Learning | Supervised Learning, Unsupervised Learning, Neural Networks |
Big Data Technologies | Hadoop, Spark, Big Data Analytics Tools |
Business Intelligence | BI Concepts, Tools, and Applications |
Project Work | Real-world Data Analytics Projects, Case Studies |