Relational Database Design
Master database design from concept to implementation. Learn entity-relationship modeling, relational schemas, and normalization techniques.
Master database design from concept to implementation. Learn entity-relationship modeling, relational schemas, and normalization techniques.
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 Databases for Data Scientists 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.
4.6
(208 ratings)
19,476 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Create Entity Relationship Models and Diagrams
Design effective Relational Models
Normalize databases to Third Normal Form (3NF)
Implement practical database design solutions
Manage data redundancy through normalization
Skills you'll gain
This course includes:
3.7 Hours PreRecorded video
26 quizzes, 4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course guides students through the complete process of relational database design. Starting with fundamental concepts, learners progress through entity-relationship modeling, relational schemas, and normalization techniques. The curriculum covers practical database management systems (DBMS) concepts, focusing on building scalable and efficient database structures. Through hands-on exercises and real-world examples, students learn to create entity-relationship diagrams, convert conceptual models to relational schemas, and normalize databases to eliminate redundancy.
Introduction to DBMS, and Entity Relational Models
Module 1 · 8 Hours to complete
Relational Models
Module 2 · 8 Hours to complete
Normalization
Module 3 · 10 Hours to complete
Case Study
Module 4 · 6 Hours to complete
Fee Structure
Instructor
Teaching Assistant Professor
Dr. Di Wu is a Teaching Assistant Professor at the University of Colorado Boulder, specializing in data science and computer science. His primary research interests include temporal databases, the semantic web, knowledge representation, and data science, with a focus on extending the Resource Description Framework (RDF) for temporal dimensions. Before joining CU Boulder, he taught various courses such as algorithms and data structures, programming languages, and database management. Dr. Wu aims to develop an inclusive and engaging pedagogy in data science education over the next five years, emphasizing experiential learning in both in-person and online formats. He is involved in teaching courses related to data science and programming, including specializations in Python programming for data scientists.
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4.6 course rating
208 ratings
Frequently asked questions
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