Let's dig into our database. This database has 9 columns:
1. `model` - model of the car
2. `year` - year of manufacture
3. `price` - car price in Euros
4. `transmission` - type of gearbox
5. `mileage` - miles drove
6. `fueltype` - engine fuel type
7. `tax` - road tax
8. `mpg` - miles per gallon
9. `enginesize` - engine size in liters.

To extract certain columns you need to select them by their names, like:

SELECT column1, column2, column3
FROM table_name

Please note, that SQL is also case-insensitive to column names, i.e. if the column has name id both notations `id` and `ID` will be interpreted the same.

SQL is a domain-specific programming language widely used by data scientists, analysts, etc for manipulating and extracting necessary data. Nowadays, SQL is a must-have point in the CV for every potential analyst, data scientist. In this course, you will be introduced to the very basics of SQL.

In this section, you will be introduced to the very basics of SQL: extracting one or multiple columns from a database.

In this section, you will learn how to filter observations so only necessary rows will be extracted.

In this section, you will learn about the usage of different aggregating functions for your table, such as minimum, maximum, average... 

In this section, you will learn how to sort your table, even having filters and aggregate functions applied to a table.

In this section, you will learn about grouping observations and usage of this principle.

This chapter is designed for users who have completed the previous sections and want to consolidate knowledge.

SELECTing certain columns

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