Certificate in Data Mining and Warehousing

Data Mining and Warehousing

About Data Mining and Warehousing

While data mining works by extracting crucial data from databases, data warehousing is a technique for organizing and consolidating data into one database. Data mining depends on the data generated in the data warehouse in order to attempt to show relevant patterns.

Why is Data Mining and Warehousing important?

The benefits include:

• Time-saving.
• The ability to quickly make educated judgments with to access to consolidated, collected data from many sources.
• High rate of return on investment Utilize shared information across departments to cooperate successfully and quickly obtain accurate, real-time information.
  

Who should take the Data Mining and Warehousing Exam?

• Data Warehousing Consultant
• Data Miner
• Business Intelligence Technical Specialist
• Business Analyst
• ETL Expert
• Data Warehouse Architect
• Data Engineers
• Data Scientist
• Data Analyst

Data Mining and Warehousing Certification Course Outline

1. Methods and theory for the development of data warehouses and data analysis using data mining. 
2. Data quality and methods and techniques for preprocessing of data. 
3. Modeling and design of data warehouses. 
4. Algorithms for classification, clustering and association rule analysis. 
5. Practical use of software for data analysis.