Course Duration | 3 Years |
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Course Level | Undergraduate |
Course Tuition Fees | Varies |
Mode of Study | Full Time |
Institute Type | University |
Module | Important Topics |
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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 | SQL, NoSQL, Data Warehousing, Data Mining |
Statistical Methods for Data Analysis | Descriptive Statistics, Inferential Statistics, Probability |
Data Visualization | Principles of Visualization, Tools (Tableau, Power BI), Dashboards |
Machine Learning | Supervised Learning, Unsupervised Learning, Neural Networks |
Big Data Technologies | Hadoop, Spark, Big Data Analytics |
Business Intelligence | BI Concepts, Tools, Decision Making |
Project Work | Real-world Data Analytics Project, Capstone Project |