SQL Fundamentals: Database Management & Queries
Master SQL fundamentals and learn database manipulation for data engineering and analytics with hands-on practice using real databases.
Master SQL fundamentals and learn database manipulation for data engineering and analytics with hands-on practice using real databases.
This comprehensive SQL course introduces relational database concepts and practical SQL programming. Students learn essential database operations including CRUD (Create, Read, Update, Delete) using SQL statements. The curriculum covers filtering, sorting, aggregating data, working with functions, and performing advanced operations like sub-queries and table joins. Through hands-on labs using real database systems and datasets, learners create cloud database instances and practice SQL queries. The course is designed for beginners in data engineering, analytics, and science, providing applicable skills across various database systems including MySQL, PostgreSQL, IBM Db2, and Oracle.
4.5
(70 ratings)
47,621 already enrolled
Instructors:
English
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What you'll learn
Master basic SQL operations including SELECT, INSERT, UPDATE, and DELETE statements
Create and manage database instances in the cloud environment
Write complex queries using string patterns, ranges, and sorting techniques
Utilize built-in database functions for data analysis and manipulation
Work with various SQL data types and understand their applications
Develop skills in creating nested queries and joining multiple tables
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This comprehensive introduction to SQL covers fundamental database concepts and practical query writing skills. Students learn essential database operations including CRUD functionalities, data filtering, sorting, and aggregation. The course emphasizes hands-on learning with real database systems and datasets, including creating cloud database instances. Topics include working with various SQL functions, handling different data types, writing nested queries, and joining multiple tables. The curriculum is designed to provide practical skills applicable across major database systems like MySQL, PostgreSQL, and IBM Db2.
Fee Structure
Instructor
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
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4.5 course rating
70 ratings
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