Course description
This course gives an introduction to methods and theory for development of data warehouses and data analysis using data mining. Data quality and methods and techniques for preprocessing of data. ... Algorithms for classification, clustering and association rule analysis. Practical use of software for data analysis.
Course objectives
This course gives an introduction to methods and theory for development of data warehouses and data analysis using data mining. Data quality and methods and techniques for preprocessing of data. Modeling and design of data warehouses. Algorithms for classification, clustering and association rule analysis
Learning outcome
The candidate will get knowledge of: - Data preprocessing and data quality. - Modeling and design of data warehouses. - Algorithms for data mining.
Course structure
- Data Warehouse
- Data preprocessing
- What is data mining?
- Data Mining Techniques
- Cluster analysis
Assessment
- Teacher: DURGABATI PODDER