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Course Description
Joining data is an essential skill in data analysis, enabling you to draw information from separate tables together into a single, meaningful set of results. In this comprehensive course on joining data, you'll delve into the intricacies of table joins and relational set theory, learning how to optimize your queries for efficient data retrieval.
Understand Data Joining Fundamentals
You will learn how to work with multiple tables in SQL by navigating and extracting data from various tables within a SQL database using various join types, including inner joins, outer joins, and cross joins. With practice, you'll gain the knowledge of how to select the appropriate join method.Explore Advanced Data Manipulation Techniques
Next up, you'll explore set theory principles such as unions, intersects, and except clauses, as well as discover the power of nested queries in SQL. Every step is accompanied by exercises and opportunities to apply the theory and grow your confidence in SQL.Prerequisites
Curriculum
Course outline
1
Combining Data Vertically
Stacking Rows with UNION
Stack rows from multiple tables into a single unified result, and know when stacking (rather than joining) is the right approach for combining data.
2
Combining Data Horizontally
Keeping All Rows with LEFT JOIN
Enrich a base table with additional data without losing any rows, and understand when a left join is the right choice — specifically, when not every row in your primary table has a match in the other table.
Keeping Matching Rows with INNER JOIN
Combine only the rows that match across tables, understand how inner joins differ from left joins, and choose between them based on whether unmatched rows matter to your analysis.
Joining on Multiple Columns
Join tables accurately when no single column uniquely identifies matching rows, and recognize the consequences of choosing incorrect join columns.
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Joining Data in SQL
Course
Complete
