Welcome to the specialization course Business Intelligence and Data Warehousing. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses. You will be able to understand the problem of integration and predictive analysis of high volume of unstructured data (big data) with data mining and the Hadoop framework.
Business intelligence and data warehousing
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Business intelligence and data warehousing
This course is part of Database systems Specialization
Instructor: María del Pilar Ángeles
13,300 already enrolled
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Gain insight into a topic and learn the fundamentals.
3.8
(99 reviews)
Intermediate level
Some related experience required
10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
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Shareable certificate
Add to your LinkedIn profile
Assessments
7 assignments
Taught in English
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This course is part of the Database systems Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 6 modules in this course
In the first module named Introduction to Business Intelligence as Analytical System, we will learn how the steps of the process of datawarehousing to automate analytical processes that companies need for their business strategies. Let's start!
What's included
2 videos1 reading1 assignment1 discussion prompt
After completing this module, a learner will be able to identify the entire process of datawarehousing, which consist on OLAP design concepts and multidimensional modelling. The learner will be able to design and create a data warehouse from OLAP requirements.
What's included
2 videos1 assignment1 peer review1 discussion prompt
After completing this module, a learner will differentiate from structured and unstructured data and will be able to extract, transform and load data into a datawarehouse. The student will also be able to program and execute OLAP queries with SQL.
What's included
2 videos1 assignment1 peer review1 discussion prompt
After completing this module, a learner will identify the main data mining tasks and some algorithms for classification, regression and clustering for predictive and descriptive analysis on business intelligence.
What's included
2 videos1 assignment2 peer reviews1 discussion prompt
After completing this module, a learner will learn the types of data according to structure and how to integrate, store and analyze unstructured data.
What's included
2 videos1 assignment1 discussion prompt
After completing this module, a learner will understand the problem of big data, a possible solution to the analysis of big data with the Hadoop ecosystem and under which conditions should be apply each element of this ecosystem.
What's included
2 videos2 assignments1 peer review1 discussion prompt
Instructor
Instructor ratings
3.6 (19 ratings)Offered by
Recommended if you're interested in Data Analysis
Universidad Nacional Autónoma de México
University of California, Irvine
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