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3/12/2020
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Data Warehousing for Business Intelligence Specialization is the name of a specialized course for building analytical databases focusing on business intelligence. With the help of this course, you will gain applied data engineering skills that are used in a wide range of technology topics as well as today's businesses. In fact, the knowledge of data management and analysis is one of the skills required in many professions today, and the purpose of this course is to acquire this valuable knowledge. Familiarity with database management requirements, concepts, design and integration of data in analytical databases, adding support for related data and familiarity with concepts, tools and applications of business intelligence are among the topics of this course.
During this course, you will become familiar with the structural foundations of data modeling and gain practical experience in coding in SQL. Then you will gain a deep understanding of the analytical database and how to design and manipulate its data. In this course, it is possible to work with a huge data set to build an information dashboard and image analysis. You'll also get the ability to use the MicroStrategy platform, a leading tool in business intelligence, Pentaho software for data integration, data display and data mining, video insight and online analytical processing (OLAP). At the end of this course, you will also complete a small, basic analytics database building project to test your acquired knowledge and skills.
Data visualization
Analytical Database (Data Warehouse)
SQL language
Database design
Entity Relationship (ER) Model
Extraction, deformation and loading (ETL) operations
Data integration
And
Publisher: Coursera
Instructor: Michael Mannino, Jahangir Karimi
English language
Level of training: Advanced
Number: 5 courses
Duration of the course: with a suggested time of 4 hours per week, approximately 7 months
You should have some prior experience with software engineering and business intelligence. This Specialization is designed primarily for software engineering professionals seeking to enter the fields of data engineering, architecture, or big data analytics, but other experienced technical professionals are also welcome.
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