Lisa Reiber

“The projects helped me apply what I learned and understand how to tackle all the little things that come along in real life.”



Lisa Reiber

Data Analyst

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

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