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Back to Business Intelligence Concepts, Tools, and Applications

Learner Reviews & Feedback for Business Intelligence Concepts, Tools, and Applications by University of Colorado System

4.5
stars
638 ratings

About the Course

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鈥檚 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 鈥� properly formatted 鈥� 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鈥檒l 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....

Top reviews

NA

Mar 25, 2016

The Course is well laid out with plenty of assignments that allow you master the BI by using Microstrategy. Thanks to professor Karimi, it was by far the best BI course that I have ever taken.

GL

Jul 22, 2017

Very good course , with very explanatory and additional material. Deep diving with exercises and especially the last assignment where total understanding was required in order to fulfil it.

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51 - 75 of 118 Reviews for Business Intelligence Concepts, Tools, and Applications

By olgakl77

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Apr 4, 2017

Wonderful course! Definitely worth taking!

By Shivam S

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Jun 29, 2017

Enjoyable course much to learn

By Maximilian M

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Jun 25, 2018

Great course. To the point.

By ibrahim a

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Jun 14, 2021

I learned a lot, it's good

By 賴丿賷賱 毓 丕

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Oct 9, 2020

it's really amazing course

By Jos茅 A O R

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Oct 20, 2021

guides should be updated

By Marek P

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Oct 30, 2016

Great, many resources..

By BENSON E A

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Mar 27, 2019

The materials was good

By Amon K

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Dec 4, 2020

It was informative

By Alexander K

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May 31, 2017

Thank you for all.

By Jo B

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Mar 27, 2016

Excellent course!

By Maria D

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Apr 24, 2022

Excelente curso

By Vidhi C

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Sep 5, 2017

Good course!!!!

By Wael A A s

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Aug 10, 2016

I recommend it

By ALVARO P F

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Dec 2, 2021

Amazing course

By yogesh s

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Oct 29, 2016

Awesome course

By Imisi A

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Oct 1, 2021

Great Course

By Nawaf S B H

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Jul 29, 2020

great course

By Jo茫o P V d S

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Nov 25, 2019

Exquisite!!!

By Kevin M

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Sep 16, 2019

great course

By Aron C

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Apr 19, 2022

fantabulous

By Vasileios M

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Jun 10, 2020

Excellent!!

By Francisco I S R

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Oct 14, 2018

nice course

By RANA S P S

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Jun 6, 2016

Nice Course

By Kalyani K

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May 25, 2016

Good Course