Volver a Data Warehousing and Business Intelligence
Opiniones y comentarios de aprendices correspondientes a Data Warehousing and Business Intelligence por parte de Universidad de California en Irvine
33 calificaciones
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This course builds on “The Nature of Data and Relational Database Design” to extend the process of capturing and manipulating data through data warehousing and data mining. Once the transactional data is processed through ETL (Extract, Transform, Load), it is then stored in a data warehouse for use in managerial decision making. Data mining is one of the key enablers in the process of converting data stored in a data warehouse into actionable insight for better and faster decision making.
By the end of this course, students will be able to explain data warehousing and how it is used for business intelligence, explain different data warehousing architectures and multidimensional data modeling, and develop predictive data mining models, including classification and estimation models. IN addition, students will be able to develop explanatory data mining models, including clustering and association models.
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1 - 6 de 6 revisiones para Data Warehousing and Business Intelligence
por jimoh m
•10 de mar. de 2022
Managing and organization of data is very important in every organization, so data warehousing help to organise data for easy access and understanding
por suneeth s
•20 de feb. de 2022
This course is an excellent and simple introduction for DWH which is easy to grasp and follow.
por Wai K W C
•17 de ene. de 2022
A whirlwind tour to provide the basic algorithms for machine learning in data analysis
por Tessa T
•6 de feb. de 2022
Thank you for useful course.
por Umar F
•7 de feb. de 2022
best
por Lismar d C M Y
•10 de mar. de 2022
Theory content is on point, perfect
I would like to have more hands-on projects and practical excersices
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