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Exploratory Data Analysis (EDA) with Python & Pandas | Complete EDA Tutorial | Data Science Project

Name: Exploratory Data Analysis (EDA) with Python & Pandas | Complete EDA Tutorial | Data Science Project
Uploaded: 2025-08-08T11:59:01+00:00
Duration: 58 min 55 s

Binary Study

Learn to perform Exploratory Data Analysis on real-world data using Python Pandas. In this video, we demonstrate how to perform EDA on a dataset (Ozone Weather) with Pandas in Python. Under EDA, you will learn basic data understanding, data preparation, feature understanding (univariate analysis), feature relationships (bivariate and multivariate analysis), and data retrieval from DataFrame using different Pandas useful functions. We will use the following different functions

Jupyter Notebook and DataSet on Github: https://github.com/binary-study/data-science/tree/main/ExploratoryDataAnalysis

You can directly run the Notebook on Kaggle without needing to download the notebook and dataset.

You will learn the following in this video:

What is EDA?

Step 1: Basic Data Understanding

Step 2: Data Preparation

Step 3: Univariate Analysis (Feature Understanding )

Step 4: Bivariate and Multivariate Analysis (Feature Relationships)

Step 5: Ask Questions on Data?

Timestamps:

00:00 Intro

02:25 What is EDA?