courseraIT и технологии

Data Warehousing and Business Intelligence

Курс от University of California, Irvine

Начальный≈ 6.6 чАнглийский

О курсе

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.

Навыки, которые вы освоите

Unsupervised Learning Data Mining Predictive Modeling Star Schema Supervised Learning Extract, Transform, Load Snowflake Schema Classification Algorithms Data Modeling Data Architecture Data Warehousing Machine Learning Methods Business Intelligence Business Analytics Databases Cloud Computing Data-Driven Decision-Making

Программа курса

4 модулей · 30 учебных материалов

01Overview of Data Warehousing9 материалов

Overview of Data Warehousing

Need for Data WarehousingЧтение Data Warehousing ArchitecturesЧтение ActivityОбсуждение Extract, Transform, Load (ETL)Чтение

Учитесь у экспертов

Tim Carrington

Преподаватель курса