Business intelligence and data warehousing
Explore data warehouse design and the implementation of business intelligence solutions to enhance data management and decision-making processes.
Explore data warehouse design and the implementation of business intelligence solutions to enhance data management and decision-making processes.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Database systems Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
3.8
(99 ratings)
13,143 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Design multidimensional data models
Implement ETL processes
Create analytical SQL queries
Analyze data with RapidMiner
Work with Hadoop framework
Skills you'll gain
This course includes:
0.8 Hours PreRecorded video
7 assignments
Access on Mobile, Desktop, Tablet
FullTime access
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There are 6 modules in this course
This comprehensive course covers business intelligence and data warehouse implementation. It includes ETL processes, OLAP design, and big data analytics with Hadoop.
Introduction to Business Intelligence
Module 1 · 0 Hours to complete
Designing a Data Warehouse
Module 2 · 1 Hours to complete
ETL Process and Analytical Queries
Module 3 · 1 Hours to complete
Predictive Analytics with Data Mining
Module 4 · 3 Hours to complete
Integration of Unstructured Data
Module 5 · 0 Hours to complete
Big Data and Hadoop Framework
Module 6 · 2 Hours to complete
Fee Structure
Instructor
Full time professor at the Department of Computer Engineering
María del Pilar Ángeles is a full-time professor in the Department of Computer Engineering at the Universidad Nacional Autónoma de México (UNAM). She obtained her Ph.D. in Computer Science from Heriot-Watt University in 2007 and has since accumulated over 26 years of experience in the field. Prior to her academic career, she worked as a Technical Support Engineer for several database software providers, including Software AG and Sybase de Mexico. Her research interests encompass a wide range of topics, including Quality in Software Engineering, Master Data Management, Big Data, NoSQL, In-memory databases, Data Mining, Data Quality, Data matching, and Data Provenance.At UNAM, María del Pilar teaches various courses related to data management and database systems. Her offerings on Coursera include Business Intelligence and Data Warehousing, Designing Data-Intensive Applications, NoSQL Systems, and Relational Database Systems. Through these courses, she aims to equip students with essential skills for navigating the complexities of modern data environments and to foster a deeper understanding of the underlying principles of data management and analysis
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3.8 course rating
99 ratings
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