Online Course in SQL Concepts for Data Engineers

International Business Machines Corporation, or IBM, is a renowned technology company based in the United States. As a leader in driving technological advancement, IBM offers opportunities for you to be part of a community that focuses on innovation and research. You will have access to a company that has been at the forefront of technological development for over a century, with a strong presence in cloud computing, artificial intelligence, and cybersecurity.

Specifically, IBM focuses on delivering enterprise solutions in areas like cloud computing, artificial intelligence, cybersecurity, and quantum computing. With 345 programs available, you can explore different aspects of technology and consulting services. For instance, IBM's AI platform Watson has revolutionized data analytics and machine learning, giving you a unique opportunity to learn from industry leaders.

As you join IBM, you will be part of a global network with a strong presence in the United States. You will have opportunities to engage with a company that holds thousands of patents and is committed to addressing global challenges through technology. With its headquarters in Armonk, New York, you will be close to a major hub for business and technology, offering a unique blend of academic and professional experiences.

The Online Course in SQL Concepts for Data Engineers is a non-degree program offered by IBM, taught in English. It builds on existing SQL knowledge, focusing on advanced techniques for Data Engineers, with a duration measured in weeks.

This course teaches students to create and use views, stored procedures, ACID transactions, and different types of joins to retrieve related data from multiple tables. Hands-on labs and real-world datasets help students practice their skills.

After completing this course, students can pursue careers as Data Engineers, Database Architects, Data Warehouse Specialists, ETL Developers, or Business Intelligence Architects, working with companies like IBM, Amazon, or Oracle.