AirBnBarcelona

(Take-home Assignment)

As a newly hired data scientist at AirBnB Barcelona, your task is to conduct a preliminary descriptive analysis of their real estate dataset. This assignment will test your ability to analyze and interpret real estate data in a practical business context.

Deliverables and Submission Guidelines

Required Files

  1. A Jupyter notebook containing your analysis
    • Use template: Assignment-AirBnB-[YourFirstName]-[YourLastName].ipynb
    • Maintain the original template format
    • Complete all questions and ensure answer variables contain appropriate data/comments
  2. A PDF version of your completed notebook
    • Name format: Assignment-AirBnB-AirBnB-[YourFirstName]-[YourLastName].pdf
  3. A professional memorandum summarizing your findings and recommendations:
    • Maximum 2 pages in PDF format
    • Name format: Assignment-AirBnB-[YourFirstName]-[YourLastName].pdf

Steps to Complete

  1. Download the provided answer template notebook and dataset.
  2. Rename the notebook following the specified format
  3. Complete the analysis while preserving the original notebook structure
  4. Use your findings from the notebook to craft a professional memorandum summarizing your analysis, insights, and recommendations.
  5. Export the notebook as a PDF
  6. Submit both the .ipynb and the 2 .pdf files

Important Notes

  • Replace [YourFirstName] and [YourLastName] with your actual name
  • Do not use screenshots for code or text portions
  • Follow the submission format precisely
  • Ensure all analysis steps are properly documented

Evaluation Criteria

Sections:

  • Technical Analysis (25 points): Accuracy and depth of analysis in the notebook.
  • Memorandum (75 points): Clarity, professionalism, and actionable insights.

Criteria:

  • Technical accuracy (40%)
  • Analytical depth (40%)
  • Professionality (20%)