Data Mining and Warehousing Practice Exam

 

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.

Data Mining and Warehousing has gained immense popularity across the globe resulting in huge demand for certified professionals.

 

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.

Data Mining and Warehousing certified professionals, executives and managers are in high demand in companies across the globe.

 

Who should take the Data Mining and Warehousing Exam?

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

 

Knowledge and Skills required for the Data Mining and Warehousing

Specific skills are needed to excel in career of data mining and warehousing which includes analytical bent of mind and quick learning skills.

 

Data Mining and Warehousing Practice Exam Objectives

Data Mining and Warehousing exam focuses on assessing your skills and knowledge in data analysis, mining and data warehousing.

 

Data Mining and Warehousing Practice Exam Pre-requisite

There are no prerequisites for the Data Mining and Warehousing exam. Candidates who are well versed  in data analysis, mining and data warehousing can easily clear the exam.

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.

 

Exam Format and Information

Certification name – Certificate in Data Mining and Warehousing
Exam duration – 60 minutes
Exam type - Multiple Choice Questions
Eligibility / pre-requisite - None
Exam language - English
Exam format - Online
Passing score - 25
Exam Fees  - INR 1199