Python

Pandas Capstone Projects

Put it all together. Build an end-to-end data analysis pipeline and a dynamic reporting system.

By TechCoder TeamLast updated: 2026-06-02
In a Nutshell

Put it all together. Build an end-to-end data analysis pipeline and a dynamic reporting system. This hands-on tutorial focuses on practical implementation of pandas capstone projects concepts.

Module 12: Real-World Projects

You've learned the tools. Now build the house. These projects are designed to mimic real tasks you'd face as a Data Analyst.


Capstone Project 1: Titanic Survival Analysis 🚒

In this project, you will clean and analyze a subset of the famous Titanic dataset.

The Mission:

  1. Load: Create a DataFrame with "Name", "Age", "Fare", "Survived" (0/1).
  2. Clean: Fill missing Age values with the median Age.
  3. Feature: Create a new column "FamilySize" (random integer) and "IsAlone" (True if FamilySize is 0).
  4. Analyze: Use groupby to find the average survival rate for "IsAlone" vs not.
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Capstone Project 2: Sales Reporting System πŸ“Š

You are the Lead Analyst for an E-commerce giant.

The Mission:

  1. Ingest: You have daily sales data for multiple cities.
  2. Transform: Convert dates to datetime. Extract the "Month".
  3. Aggregate: Calculate total monthly sales per city using pivot_table.
  4. Report: Identify the city with the highest growth between Month 1 and Month 2.
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Final Review Quiz

Quiz

Question 1 of 5

Which function allows you to reshape a DataFrame into a 'pivot table' format?

pd.reshape()
pd.pivot_table()
df.transpose()
df.groupby()

Final Outcome

Congratulations! You are now a generic Pandas Expert. You can:

  • Load messy files.
  • Clean bad data.
  • Analyze complex trends.
  • Prepare data for AI models.

Go forth and analyze! πŸš€