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Exploring London's Travel Network

BasicSkill Level
4.8+
116 reviews
Updated 01/2025
Use SQL to analyze a database containing information about Transport for London journeys over 12 years!
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RedshiftData EngineeringData Warehouse30 min1 Task1,500 XP

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Project Description

Exploring London's Travel Network

How do Londoners get around? Transport for London (TfL) is a vast public transport network that allows London's residents to efficiently travel around the UK's capital, to the tune of over 1.5 million journeys per day! In this introductory project, you will work with a Snowflake, Amazon Redshift, Google BigQuery, or Databricks database containing data on journeys and transport types in London between 2010 and 2022. You will write SQL queries to find the most popular transport methods, examine when the London cable car (which connects London's Royal Docks, where the Mayor's office is located, to Greenwich Peninsula, home of the O2 arena) was particularly busy, and identify rare periods when the Underground (also known as "the tube" to locals) was less busy.

Exploring London's Travel Network

Use SQL to analyze a database containing information about Transport for London journeys over 12 years!
Start Project
  • 1

    Explore how Londoners travel around the city!

Don’t just take our word for it

*4.8
from 116 reviews
84%
16%
0%
0%
0%
  • Vishal
    2 days ago

  • Sargis
    2 weeks ago

  • Mostafa
    2 weeks ago

  • Ntobow
    3 weeks ago

  • Ryan
    4 weeks ago

    This was truly awesome. Looking forward to taking these skills into the real world one day soon and very soon.

  • Bilel
    4 weeks ago

Mostafa

Ntobow

"This was truly awesome. Looking forward to taking these skills into the real world one day soon and very soon."

Ryan

FAQs

Is this project suitable for beginners?

Yes, this project is suitable for beginners as it requires no prior knowledge of Redshift or SQL. However, prior knowledge of Python is required.

What is the programming language of this project?

This project is written in Redshift, a database technology.

Can I add this project to my Data Portfolio?

Yes, upon successful completion of the project, users can add their work to their Data Portfolio.

Do I need to download any software to complete this project?

No, this project can be fully completed using DataCamp Workspace, so no additional software is necessary.

What information is in the database?

The database used in this project contains information about Transport for London journeys over 12 years.

What will I learn by completing this project?

By completing this project, users will learn how to use SQL to explore how Londoners travel around the city.

What do I need to know before starting this project?

Before starting this project, users should have a basic understanding of Python and be familiar with datasets and dataframes.

How long does it take to complete this project?

The amount of time to complete this project will vary depending on individual skills and experience, but should take approximately 2-3 hours.

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