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Débute 4 June 2026 07:24

Se termine 4 June 2026

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Duke University

Business Intelligence Concepts, Tools, and Applications

Concepts, Outils et Applications de l'Intelligence d'Affaires Ceci est le quatrième cours de la spécialisation Data Warehouse pour Business Intelligence. Idéalement, les cours doivent être suivis dans l'ordre. L'exploitation efficace et efficiente des données est au cœur de la stratégie concurrentielle d'une entreprise moderne, et un entrepôt de.
Duke University via Coursera

Duke University

14 Cours


L'Université Duke est une université privée de recherche de renommée mondiale située à Durham, en Caroline du Nord. Son engagement envers l'apprentissage interdisciplinaire et la recherche collaborative aide à façonner l'avenir de ses étudiants et de ses communautés.

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Aperçu

This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence.

Effectively and efficiently mining data is the very center of any modern business’s competitive strategy, and a data warehouse is a core component of this data mining. The ability to quickly look back at early trends and have the accurate data – properly formatted – is essential to good decision-making.

By enabling this historical overview, a data warehouse allows decision makers to learn from past trends and challenges. In essence, the benefit of a data warehouse is continuous improvement.

By the end of the course, you will be able to enhance conformity and quality of data by gaining the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer.

You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards.

The course gives an overview of how business intelligence technologies can support decision-making across any number of business sectors. These technologies have had a profound impact on corporate strategy, performance, and competitiveness and broadly encompass decision support systems, business intelligence systems, and visual analytics.

Modules are organized around the business intelligence concepts, tools, and applications, and the use of data warehouse for business reporting and online analytical processing, for creating visualizations and dashboards, and for business performance management and descriptive analytics.

This course is intended for business and computer science university students, IT professionals, program managers, business analysts, and anyone with career interests in business intelligence. In order to be successful in this course, you should have either completed Course 3 of the Data Warehousing for Business Intelligence Specialization or have some prior experience with data visualization and document management.

University:

Duke University

Provider:

Coursera

Categories:

Business Intelligence Courses, Data Warehousing Courses


Enseigné par

Jahangir Karimi


Matières