Universidad Nacional Autónoma de México
Business intelligence and data warehousing
Universidad Nacional Autónoma de México

Business intelligence and data warehousing

This course is part of Database systems Specialization

Taught in English

Some content may not be translated

12,852 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

3.9

(98 reviews)

Intermediate level
Some related experience required
10 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 quizzes

Course

Gain insight into a topic and learn the fundamentals

3.9

(98 reviews)

Intermediate level
Some related experience required
10 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Database systems Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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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 quiz1 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 quiz1 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 quiz1 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 quiz2 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 quiz1 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 quizzes1 peer review1 discussion prompt

Instructor

Instructor ratings
3.6 (19 ratings)
María del Pilar Ángeles
Universidad Nacional Autónoma de México
4 Courses41,818 learners

Offered by

Recommended if you're interested in Data Analysis

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Learner reviews

Showing 3 of 98

3.9

98 reviews

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    15.30%

IS
4

Reviewed on Aug 15, 2022

WJ
5

Reviewed on Sep 1, 2019

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