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Welcome to this comprehensive tutorial on building an end-to-end data analytics project using Python and SQL! In this video, we'll walk you through every step of the process – from data extraction and cleaning to analysis and visualization. 🔍 What you will learn: How to connect Python with a SQL database and retrieve data Data cleaning and preprocessing techniques using Python Performing complex SQL queries for data analysis Exploring Python libraries like Pandas, NumPy, and Matplotlib for data manipulation and visualization Creating insightful reports and dashboards from the data This video is perfect for anyone looking to enhance their data analytics skills with a hands-on project. Whether you're a beginner or an experienced data enthusiast, you'll gain valuable insights into the end-to-end data analysis process used in real-world projects. 💻 What tools we’ll be using: Python: Pandas, NumPy, Matplotlib, and more SQL: MySQL, PostgreSQL, or SQLite (depending on your preference) Jupyter Notebooks for coding and visualizations By the end of this project, you’ll have the knowledge and confidence to tackle your own data analytics projects with Python and SQL. Don't forget to like, subscribe, and turn on notifications for more tutorials on data analysis and Python programming! Download the dataset: https://github.com/mosskhinagte/order...