Introduction to Relational Databases (RDBMS)
Master fundamental concepts of relational databases, from design principles to hands-on experience with MySQL, PostgreSQL, and DB2.
Master fundamental concepts of relational databases, from design principles to hands-on experience with MySQL, PostgreSQL, and DB2.
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 IBM Data Engineering Professional Certificate 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.
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What you'll learn
Design and implement relational databases using industry-standard principles
Create and manage tables using SQL DDL and DML statements
Work with popular DBMS tools including MySQL and PostgreSQL
Understand database normalization and constraints
Develop practical database solutions using ERD modeling
Skills you'll gain
This course includes:
3 Hours PreRecorded video
13 assignments
Access on Mobile, Desktop, Tablet
FullTime access
Shareable certificate
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There are 4 modules in this course
This comprehensive course introduces learners to the fundamentals of relational database management systems (RDBMS). Students explore core concepts including data models, Entity-Relationship Diagrams (ERD), and database architecture. The curriculum covers practical skills in creating and managing databases using popular systems like MySQL, PostgreSQL, and IBM DB2. Through hands-on labs and projects, participants learn to design databases, create tables, implement keys and constraints, and work with database tools like phpMyAdmin and pgAdmin.
Relational Database Concepts
Module 1 · 2 Hours to complete
Using Relational Databases
Module 2 · 4 Hours to complete
MySQL and PostgreSQL
Module 3 · 3 Hours to complete
Final Project and Assessment
Module 4 · 5 Hours to complete
Fee Structure
Instructors
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Leading Data Scientist Bridging Academia and Industry Innovation
Sandip Saha Joy is a Cognitive Data Scientist at IBM Developer Skills Network while pursuing his Bachelor of Science with Specialization in Computing Science at the University of Alberta, Canada. His professional journey includes roles as a Teaching Assistant and Undergraduate Research Assistant in the Department of Computing Science at the University of Alberta, where he honed his expertise in Machine Learning, Deep Learning, Statistical Modeling, Computer Vision, and Digital Image Processing. In his current position at IBM, he excels in developing data-driven applications, constructing data science pipelines, deploying machine learning and deep learning models, and exploring innovative frameworks. His commitment to education shines through his work as an instructor for various technical courses, focusing on data analysis, database management, and cloud computing, while maintaining a passionate drive to learn and share new technologies in the rapidly evolving field of artificial intelligence.
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4.6 course rating
568 ratings
Frequently asked questions
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