Przejdź do głównej treści

SQL Basics Cheat Sheet

With this SQL cheat sheet, you'll have a handy reference guide to basic querying tables, filtering data, and aggregating data
Richie Cotton
Richie Cotton

Utwórz bezpłatne konto

Ćwicz i monitoruj swoje postępy.

Kontynuuj z GoogleKontynuując, akceptujesz nasz Warunki użytkowania, nasz Polityka prywatności i że Twoje dane są przechowywane w USA.

SQL, also known as Structured Query Language, is a powerful tool to search through large amounts of data and return specific information for analysis. Learning SQL is crucial for anyone aspiring to be a data analyst, data engineer, or data scientist, and helpful in many other fields such as web development or marketing.

In this cheat sheet, you'll find a handy list of functions covering querying data, filtering data, aggregation, and more—all collected from our SQL Fundamentals Skill Track.

To strengthen your SQL and data skills, you may find courses like Data Warehousing Concepts and Database Design helpful. If you’re interested in expanding your knowledge into cloud and data engineering, consider exploring Introduction to Data Engineering or our Azure Fundamentals Track.

To easily run all the example code in this tutorial yourself, you can create a DataLab workbook for free that has the dataset, SQL, and the code samples preconfigured.

SQL for Data Science

Miej tę ściągawkę zawsze pod ręką

Pobierz PDF

Uruchom i edytuj kod z tej ściągawki online

Uruchom kod

The Different Dialects of SQL

Although SQL languages all share a basic structure, some of the specific commands and styles can differ slightly. Popular dialects include MySQL, SQLite, SQL Server, Oracle SQL, and more. PostgreSQL is a good place to start —since it’s close to standard SQL syntax and is easily adapted to other dialects. 

Sample Data

Throughout this cheat sheet, we'll be using the sample data airbnb_listings—denoting rental apartments on Airbnb.

idcitycountrynumber_of_roomsyear_listed
1ParisFrance52018
2TokyoJapan22017
3New YorkUSA22022

Querying tables

Get all the columns from a table

SELECT * 
FROM airbnb_listings;

Return the city column from the table

SELECT city 
FROM airbnb_listings;

Get the city and year_listed columns from the table

SELECT city, year_listed
FROM airbnb_listings;

Get the listing id, city, ordered by the number_of_rooms in ascending order

SELECT city, year_listed 
FROM airbnb_listings 
ORDER BY number_of_rooms ASC;

Get the listing id, city, ordered by the number_of_rooms in descending order

SELECT city, year_listed 
FROM airbnb_listings 
ORDER BY number_of_rooms DESC;

Get the first 5 rows from airbnb_listings

SELECT * 
FROM airbnb_listings
LIMIT 5;

Get a unique list of cities where there are listings

SELECT DISTINCT city
FROM airbnb_listings;

Filtering on numeric columns

Get all the listings where number_of_rooms is more or equal to 3

SELECT *
FROM airbnb_listings 
WHERE number_of_rooms >= 3;

Get all the listings where number_of_rooms is more than 3

SELECT *
FROM airbnb_listings 
WHERE number_of_rooms > 3;

Get all the listings where number_of_rooms is exactly 3

SELECT *
FROM airbnb_listings 
WHERE number_of_rooms = 3;

Get all the listings where number_of_rooms is lower or equal to 3

SELECT *
FROM airbnb_listings 
WHERE number_of_rooms <= 3;

Get all the listings where number_of_rooms is lower than 3

SELECT *
FROM airbnb_listings 
WHERE number_of_rooms < 3;

Filtering columns within a range—Get all the listings with 3 to 6 rooms

SELECT *
FROM airbnb_listings 
WHERE number_of_rooms BETWEEN 3 AND 6;

Filtering on text columns

Get all the listings that are based in 'Paris'

SELECT * 
FROM airbnb_listings 
WHERE city = 'Paris';

Filter one column on many conditions—Get the listings based in the 'USA' and in ‘France’

SELECT *
FROM airbnb_listings 
WHERE country IN ('USA', 'France');

Get all listings where city starts with "j" and where it does not end with "t"

SELECT * 
FROM airbnb_listings 
WHERE city LIKE 'j%' AND city NOT LIKE '%t';

Filtering on multiple columns

Get all the listings in "Paris" where number_of_rooms is bigger than 3

SELECT *
FROM airbnb_listings 
WHERE city = 'Paris' AND number_of_rooms > 3;

Get all the listings in "Paris" OR the ones that were listed after 2012

SELECT * 
FROM airbnb_listings
WHERE city = 'Paris' OR year_listed > 2012;

Upskill Your Team in SQL

Mastering SQL is crucial for effective data management and analysis. To leverage the power of data, your team needs to build strong SQL skills alongside other essential data tools. With DataCamp for Business, you can access comprehensive SQL training resources to upskill your team, ensuring they are well-prepared to navigate the complexities of database management and data analysis.

With our SQL training solutions, your team benefits from:

  • Extensive learning resources: Access a rich library of interactive courses focused on SQL fundamentals, advanced queries, database design, and optimization techniques. Tailored learning paths guide your team through the most relevant topics for your organization’s needs.
  • Practical experience: Gain hands-on practice with real-world scenarios, reinforcing core SQL concepts such as data retrieval, manipulation, aggregation, and performance tuning. Build confidence through active learning exercises that simulate real database environments.
  • Scalable solutions: Whether your organization is a small team or a large enterprise, our solutions scale to meet your training needs, fostering a culture of continuous learning and data-driven decision-making.
  • Progress monitoring: Utilize a variety of tools to track your team’s learning progress, ensuring they meet their SQL training objectives and are ready to apply their skills to real-world challenges.

Investing in SQL training for your team empowers them to make informed decisions, optimize database performance, and efficiently manage your organization’s data assets. Request a demo today to explore how our SQL training solutions can help your team excel.

Filtering on missing data

Get all the listings where number_of_rooms is missing

SELECT *
FROM airbnb_listings 
WHERE number_of_rooms IS NULL; 

Get all the listings where number_of_rooms is not missing

SELECT *
FROM airbnb_listings 
WHERE number_of_rooms IS NOT NULL; 

Simple aggregations

Get the total number of rooms available across all listings 

SELECT SUM(number_of_rooms) 
FROM airbnb_listings; 

Get the average number of rooms per listing across all listings

SELECT AVG(number_of_rooms) 
FROM airbnb_listings;

Get the listing with the highest number of rooms across all listings

SELECT MAX(number_of_rooms) 
FROM airbnb_listings;

Get the listing with the lowest number of rooms across all listings

SELECT MIN(number_of_rooms) 
FROM airbnb_listings;

Grouping, filtering, and sorting 

Get the total number of rooms for each country

SELECT country, SUM(number_of_rooms)
FROM airbnb_listings
GROUP BY country;

Get the average number of rooms for each country

SELECT country, AVG(number_of_rooms)
FROM airbnb_listings
GROUP BY country;

Get the listing with the maximum number of rooms for each country

SELECT country, MAX(number_of_rooms)
FROM airbnb_listings
GROUP BY country;

Get the listing with the lowest amount of rooms per country

SELECT country, MIN(number_of_rooms)
FROM airbnb_listings
GROUP BY country;

For each country, get the average number of rooms per listing, sorted by ascending order

SELECT country, AVG(number_of_rooms) AS avg_rooms
FROM airbnb_listings
GROUP BY country
ORDER BY avg_rooms ASC;

For Japan and the USA, get the average number of rooms per listing in each country

SELECT country, AVG(number_of_rooms)
FROM airbnb_listings
WHERE country IN ('USA', 'Japan');
GROUP BY country;

Get the number of listings per country

SELECT country, COUNT(id) AS number_of_listings
FROM airbnb_listings
GROUP BY country;

Get all the years where there were more than 100 listings per year

SELECT year_listed
FROM airbnb_listings
GROUP BY year_listed
HAVING COUNT(id) > 100;

Tematy

Powiązane

ściągawka

MySQL Basics Cheat Sheet

ściągawka

PostgreSQL Basics Cheat Sheet

ściągawka

SQL Joins Cheat Sheet