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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.

Note: When using sample integrations such as those that contain course data, you have read-only access. You can run queries, but cannot make any changes such as adding, deleting, or modifying the data (e.g., creating tables, views, etc.).

Take Notes

To filter a pattern rather than specific text used: LIKE, NOT LIKE,IN

Comparison operators greather than less than equal to greather than or equal to less than or equql to not equal to

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Queryas
query
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.
  1. Calculate a count of all movies by country using the films table.
import sqlite3

# Connect the database
conn = sqlite3.connect('cinema.db')

# Create a cursor object
cursor = conn.cursor()

# Execute the query
cursor.execute("SELECT title FROM reviews WHERE imdb_score > 8.5")

# Fetch all the results
results = cursor.fetchall()

# Print the results
for row in results:
    print(row[0])

# Close the cursor and connection
cursor.close()
conn.close()