Course overview
In this course, you’ll learn how to identify and work with the various data types you’ll encounter in any data science role. Next, you’ll explore new concepts like functions, operators, expressions, and control flow. Finally, you’ll learn how to use them to optimize your work in a database.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser.
Key skills
Course outline
Filtering and Sorting Data in SQL [7 lessons]
Datatypes and Column Operations 1h
Lesson Objectives- Identify different data types
- Employ documentation
- Execute operations between columns
- Employ text operations
- Define aliases
Filtering I — Logical Operators 1h
Lesson Objectives- Define expressions
- Define conditions
- Filter based on conditions with `WHERE`
- Employ logical operators `NOT`, `AND`, and `OR`
Filtering II — Complex Expressions 1h
Lesson Objectives- Define comparison operators
- Identify the order of execution
- Employ the `BETWEEN` operator
Filtering III — Special Comparison Operators 1h
Lesson Objectives- Employ `LIKE` operator
- Filter based on patterns
- Avoid multiple uses of `OR` with `IN`
- Define `NULL`
- Check if an expression is `NULL`
Control Flow 1h
Lesson Objectives- Program if/then rules
- Employ the `CASE` expression
- Identify pitfalls of the `CASE` expression
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