Data Modeling and Applications
Master database concepts, SQL, and data modeling. Learn to design, query, and manage relational databases effectively.
Master database concepts, SQL, and data modeling. Learn to design, query, and manage relational databases effectively.
This comprehensive course covers database management systems, focusing on relational databases and SQL. Students will learn data modeling, database design, and administration. The course provides hands-on experience with industry-standard tools and practices, preparing students for real-world database management roles.
Instructors:
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What you'll learn
Understand the fundamentals of database management systems
Master SQL for querying and manipulating data
Design efficient database structures using normalization techniques
Create and interpret entity-relationship diagrams
Develop skills in database administration and security
Apply data modeling concepts to real-world scenarios
Skills you'll gain
This course includes:
9 Hours PreRecorded video
33 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 9 modules in this course
This course provides a comprehensive introduction to data modeling and database applications. Students will explore the fundamentals of database management systems, with a focus on relational databases. The curriculum covers a wide range of topics, from basic database concepts to advanced SQL queries, data modeling techniques, and database administration. Learners will develop practical skills in designing efficient database structures, writing complex SQL queries, and managing database systems. The course also introduces key concepts like normalization, entity-relationship modeling, and database security, preparing students for real-world database management challenges.
Why Use Databases
Module 1 · 8 Hours to complete
The Relational Model
Module 2 · 8 Hours to complete
Structured Query Language - Part 1
Module 3 · 8 Hours to complete
Structured Query Language - Part 2
Module 4 · 7 Hours to complete
Structured Query Language - Part 3
Module 5 · 8 Hours to complete
Data Modeling and the E-R Model
Module 6 · 7 Hours to complete
Database Design
Module 7 · 7 Hours to complete
Database Administration
Module 8 · 7 Hours to complete
Summative Course Assessment
Module 9 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Expert in Cloud Computing and Data Modeling at Illinois Tech
Marwan Omar is an Associate Professor at Illinois Tech, where he teaches a variety of courses focused on cloud computing and data modeling, including Cloud Computing Technologies at both the Bachelor’s and Master’s levels, as well as Data Modeling and Applications. His courses delve into the fundamentals of cloud computing architectures, services, and applications, equipping students with essential knowledge. Professor Omar's expertise in cloud computing security, machine learning, and natural language processing allows him to provide a comprehensive understanding of these advanced technologies and their practical applications in the real world.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.