Project

Airline Transportation

Easy

67 completions

~ 7 hours

4.5

Embark on a journey of SQL mastery with the Airline Transportation Database project! Explore Intermediate topics including JOINs, set operations, window functions, and table manipulation techniques such as UPDATE and ALTER TABLE commands. Learn to analyze data comprehensively, employ WITH statements for temporary result sets, utilize string operations for data manipulation, and leverage window functions for deeper insights. This project offers a platform to refine your SQL skills, equipping you to tackle complex analytical tasks, optimize airline operations efficiently, and manipulate database structures effectively. Furthermore, to assist you in grasping the topics and efficiently crafting queries, we'll provide examples of ChatGPT prompts. These examples will help you understand how to use the AI tools in your work effectively.

Provided by

JetBrains Academy

About

Welcome to the Airline Transportation Database! Here, you'll dive into detailed records about airline companies, trip specifics, and passenger details. Your task as a novice data analyst is to analyze this wealth of data to improve airline operations and enhance passenger experiences. Additionally, with advanced AI tools like ChatGPT at your disposal, you will be able effortlessly craft queries to extract valuable insights and make informed decisions. Let's embark on this journey to optimize air travel together!

Training project

This project allows you to practice and strengthen your coding skills, helping you get ready for more advanced tasks ahead.

What you'll learn

Once you choose a project, we'll provide you with a study plan that includes all the necessary topics from your course to get it built. Here’s what awaits you:

Alter the passenger's trip table to adjust date data types and synchronize trip dates with departure times to ensure data consistency.

Identify the names of passengers who frequently fly with specific airline companies.

Analyze flight routes by calculating average flight duration, total passengers, and income generated per route.

Compare flight durations and frequencies between Boeing and Airbus aircraft types.

Identify the top two routes with the longest average total flight durations for each airline company.

Utilize ABC testing to segment passengers based on their contribution to total income, categorizing them as A, B, or C based on their cumulative share percentage

Reviews

Dimitris Margetis

3 months ago

5.0

This project is excellent for grasping advanced SQL data analysis concepts

Mauro Gonçalves

7 months ago

5.0

This project taught me practical SQL for analyzing airline data. I learned to: Modify data and table structures (ALTER, UPDATE).Combine information from different tables using JOIN.Calculate summaries like counts, averages, and sums using GROUP BY and aggregate functions. ...

Fernando Martinez

11 months ago

5.0

I mainly learned alternate and shorter ways to write the same script from my peers solutions.

4.5

Learners who completed this project within the Databases with SQL and Python course rated it as follows:

Usefulness

4.8

Fun

4.5

Clarity

4.2