Zomato EDA Project Using Python 🚀 | Beginner Data Analytics Project

Welcome to a complete Beginner-Friendly EDA (Exploratory Data Analysis) Project using Python on the Zomato Dataset! In this project, we’ll perform real-world data analysis using Python and explore restaurant data, ratings, cuisines, pricing, customer preferences, and more. This project is perfect for beginners who want to start their journey in: 📊 Data Analytics 🐍 Python for Data Science 📈 Exploratory Data Analysis (EDA) 🤖 Machine Learning Preparation 📌 In this project, we will: ✔ Load and explore the dataset ✔ Perform data cleaning ✔ Handle missing values ✔ Analyze restaurant ratings ✔ Explore cuisines & locations ✔ Analyze cost distributions ✔ Visualize insights using graphs ✔ Generate business insights from data 🛠 Libraries Used: Pandas NumPy Matplotlib Seaborn 🎯 This project is perfect for: • Beginners in Python • Data Analytics Students • College Projects • Portfolio Building • Resume Projects • Machine Learning Beginners 🔥 By the end of this video, you’ll understand how real-world data analysts perform EDA using Python. 📚 Skills You’ll Learn: ✔ Data Cleaning ✔ Data Visualization ✔ Statistical Analysis ✔ Business Insight Generation ✔ Real Dataset Handling 💻 Tools Used: Python Jupyter Notebook Pandas Matplotlib Seaborn 📌 Subscribe for more: 🚀 Python Projects 📊 Data Analytics Projects 📈 Machine Learning Basics 💼 Portfolio Projects 🔥 Beginner-Friendly Tutorials #Python #EDA #DataAnalytics #DataScience #PythonProject #Zomato #MachineLearning #Pandas #Seaborn #Matplotlib #BeginnerProject