World Bank Global Education Analysis Project in Python | EDA | End - to - End Data Analyst Project
In this tutorial, I walk you through an end-to-end Data Analysis project using Python based on the World Bank EdStats (Education Statistics) dataset. This project is ideal for aspiring Data Analysts, students, and beginners who want to learn how to work with real-world global datasets and build a strong data analytics portfolio project.
In this video, you will learn how to:
Load and explore large real-world datasets in Python
Perform data cleaning and data wrangling using Pandas
Reshape time-series data from wide to long format
Handle missing values and data availability challenges
Define meaningful KPIs for education analytics
Perform Exploratory Data Analysis (EDA)
Create insightful visualizations using Matplotlib and Seaborn
Analyze global education expenditure and pupil–teacher ratios
Structure a complete data analytics project for GitHub and interviews
This project uses Google Colab and focuses on practical problem-solving rather than toy datasets. It also highlights how to deal with situations where certain indicators are unavailable — a common challenge in real industry datasets.
📌 Who should watch this video?
Data Analyst / Business Analyst aspirants
Python beginners interested in data analysis
Students building portfolio projects
Anyone preparing for data analytics interviews
📂 GitHub Project Repository:
👉 https://github.com/rishav7575/Global-...
📂 Link to Dataset: https://drive.google.com/drive/folder...
📌 Playlist: Data Analysis in Python
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