Project overview
In this project, you’ll assume the role of a data analyst tasked with exploring a real-world dataset on helicopter prison escapes. Using Python in Jupyter Notebook, you’ll apply data wrangling techniques to clean and analyze the data, uncovering trends such as the countries and years with the most escape attempts.
This project provides hands-on experience with essential data analysis skills in Python and Jupyter Notebook. You’ll learn to load data, use loops and functions to clean and transform it, create visualizations, and draw meaningful conclusions. By analyzing an intriguing real-world dataset, you’ll build a compelling project for your portfolio.
Objective: Use Python and Jupyter Notebook to analyze a dataset on helicopter prison escapes, identifying key trends and developing data storytelling skills.
Key skill required
To complete this project, it's recommended to build these foundational skills in Python
- Working with Python variables and data types
- Running Python code in Jupyter Notebook cells
- Adding text to Jupyter Notebook cells
- Using Jupyter Notebooks to analyze data and document work
Projects steps
Step 1: Jupyter Notebook
Step 2: Running Code
Step 3: Running Code Using the Keyboard
Step 4: Helicopter Escapes!
Step 5: Get the Data
Step 6: Text and Markdown Cells
Step 7: Removing the Details
Step 8: Extracting the Year
Step 9: Attempts per Year I
Step 10: Attempts per Year II
Step 11: Attempts per Year III
Step 12: Attempts by Country
Step 13: Review
Step 14: Takeaways
Master skills faster with Dataquest
Go from zero to job-ready
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build your project portfolio
Build confidence with our in-depth projects, and show off your data skills.
Challenge yourself with exercises
Work with real data from day one with interactive lessons and hands-on exercises.
Showcase your path certification
Share the evidence of your hard work with your network and potential employers.
The Dataquest guarantee
Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.
We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.
Recommended projects
Investigating Fandango Movie Ratings
Practice using R to analyze movie ratings data, compare 2015 vs 2016 ratings, and apply sampling and distributions to investigate bias.
Investigative Statistical Analysis – Analyzing Accuracy in Data Presentation
Practice statistical analysis in Python to investigate movie rating bias and determine if Fandango inflated ratings.
NYC Schools Perceptions
Practice data cleaning, analysis, and visualization in R to explore survey data and showcase your skills with R Notebooks.
Building Fast Queries on a CSV
Practice implementing an inventory system for a laptop store using Python classes, dictionaries, and binary search.
Garden Simulator Text Based Game
Practice using OOP, error handling, and randomness in Python to create an interactive gardening game simulator.
Predicting Heart Disease
Practice building a K Nearest Neighbors classifier in Python to predict heart disease risk from patient data.
Word Raider
Practice using Python variables, lists, loops, conditionals, and file handling to build an interactive word-guessing game.
Predicting Condominium Sale Prices
Practice using linear regression in R to predict condominium sale prices based on size and location in New York City.
Kaggle Data Science Survey
Practice analyzing survey data in Python to uncover insights about data science careers and skills.
Grow your career with
Dataquest.


