If you want to learn how to use the structured query language (SQL) to create, query, and manipulate data in relational databases then this learning path is for you. This collection of courses and labs will extend your practical knowledge of the topic. We go further into SQL functions before working through a practical scenario where we solve a business issue with SQL.
In Working with SQL we learn how to use SQL to alter and delete tables and how to use primary and foreign keys. We examine common joins between tables in a relational database. We then delve into inner, outer, left, and right joins before learning to manipulate data using the INSERT, UPDATE, and DELETE functions.
In the SQL Masterclass we go beyond the basics to empower you with the skills, how-to knowledge, and hands-on expertise to work through and solve complex business issues with SQL. We go deep and hands-on with transactions, subqueries, inline views, summarized queries, the EXISTS predicate, and set operations.
We then practice solving a real-world data scenario in Using SQL to Import and Validate Data from CSV Files.
- Working with SQL
- Work with Joins in SQL
- SQL Master Class
- Using SQL to Import and Validate Data from CSV Files
- Knowledge Check: Working with SQL
This learning path provides an ideal start for anyone wanting to progress with database management and data science.
To get the most out of this learning path, you should have a basic understanding of compute concepts.
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Head of Content
Andrew is an AWS certified professional who is passionate about helping others learn how to use and gain benefit from AWS technologies. Andrew has worked for AWS and for AWS technology partners Ooyala and Adobe. His favorite Amazon leadership principle is "Customer Obsession" as everything AWS starts with the customer. Passions around work are cycling and surfing, and having a laugh about the lessons learnt trying to launch two daughters and a few start ups.