Skip to content
Intermediate SQL
Here you can access every table used in the course. To access each table, you will need to specify the cinema
schema in your queries (e.g., cinema.reviews
for the reviews
table.
Take Notes
Add notes about the concepts you've learned and SQL cells with queries you want to keep.
Add your notes here
Unknown integration
DataFrameavailable as
df
variable
-- Add your own queries here
SELECT *
FROM cinema.reviews
LIMIT 5
Explore Datasets
Use the descriptions
, films
, people
, reviews
, and roles
tables to explore the data and practice your skills!
- Which titles in the
reviews
table have an IMDB score higher than 8.5? - Select all titles from Germany released after 2010 from the
films
table. - Calculate a count of all movies by country using the
films
table.
Unknown integration
DataFrameavailable as
df
variable
SELECT f.title, r.imdb_score
FROM cinema.films AS f
LEFT JOIN cinema.reviews AS r
ON f.id = r.film_id
WHERE imdb_score > 8.5;
Unknown integration
DataFrameavailable as
df
variable
SELECT title, country, release_year
FROM cinema.films
WHERE country = 'Germany' AND release_year > 2010;
Unknown integration
DataFrameavailable as
df
variable
SELECT country, COUNT(ID) AS number_of_films
FROM cinema.films
GROUP BY country;