World Bank Global Education Analysis Project in Python | EDA | End - to - End Data Analyst Project

Описание: 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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