Data Mining and Warehousing
Empowering Research & Industry with Data Insights
Skills you will gain:
The Data Mining and Warehousing program provides a comprehensive understanding of how organizations handle vast amounts of data, extract meaningful patterns, and utilize data warehouses for business intelligence. Participants will learn about data preprocessing, storage architectures, mining algorithms, and the latest advancements in big data analytics. This program combines theoretical concepts with hands-on practice to help professionals enhance their data management and analytical skills.
Aim: To equip participants with the knowledge and skills needed to collect, store, manage, and analyze large-scale data using data mining and data warehousing techniques for informed decision-making.
Program Objectives:
- To introduce participants to the fundamentals of data warehousing and data mining.
- To provide hands-on training in designing and managing data warehouses.
- To explore data mining techniques for extracting actionable insights.
- To discuss real-world applications and case studies in business intelligence.
- To address ethical, privacy, and security concerns in data management.
What you will learn?
Week 1: Introduction to Data Mining and Data Warehousing Concepts
Module 1: Introduction to Data Mining
- What is Data Mining?
- Definition and goals of data mining.
- Key stages in data mining: Data cleaning, transformation, modeling, and evaluation.
- Types of Data Mining Tasks
- Classification, clustering, regression, association, and anomaly detection.
- Real-world applications of each task type.
- Data Mining Process
- Data collection, cleaning, and preparation.
- Choosing the right technique based on the problem at hand.
Intended For :
PhD Scholars, Academicians, Faculty Members, and Industry Professionals
Career Supporting Skills