Introduction to Oracle SQL

Starting at USD 39.00
4 hours duration

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

This course offers an introduction to Oracle SQL, a widely used database management system in commercial and enterprise applications. It is particularly popular among large companies with critical databases. Throughout this course, you will gain a comprehensive understanding of Oracle SQL, covering essential topics such as SQL basics, data aggregation, data combination, and data customization in Oracle. You will also have the opportunity to apply your newly acquired knowledge to solve business problems using the Chinook data from a digital media store. The course begins by exploring SQL Basics, where you will familiarize yourself with concepts such as Oracle databases, relational databases, and data retrieval, ordering, and filtering techniques. In the final chapter, you will learn how Oracle SQL interprets queries and discover how to customize outputs, handle missing values, and convert data from one type to another. By the end of this course, you will have a solid foundation in Oracle SQL and a clear understanding of how Oracle processes SQL queries. As the importance of relational databases continues to grow, there is an increasing demand for RDBMS and SQL programmers. Explore our library to further develop your skills in SQL and its related RDBMS technologies.

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Online Education Provider ยท 410 courses
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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