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 π’
In this project, you will clean and analyze a subset of the famous Titanic dataset.
The Mission:
- Load: Create a DataFrame with "Name", "Age", "Fare", "Survived" (0/1).
- Clean: Fill missing Age values with the median Age.
- Feature: Create a new column "FamilySize" (random integer) and "IsAlone" (True if FamilySize is 0).
- Analyze: Use
groupbyto find the average survival rate for "IsAlone" vs not.
Capstone Project 2: Sales Reporting System π
You are the Lead Analyst for an E-commerce giant.
The Mission:
- Ingest: You have daily sales data for multiple cities.
- Transform: Convert dates to datetime. Extract the "Month".
- Aggregate: Calculate total monthly sales per city using
pivot_table. - Report: Identify the city with the highest growth between Month 1 and Month 2.
Final Review Quiz
Quiz
Question 1 of 5Which 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! π