Data Cleaning(Beginner - Advanced): Practical Projects | Python Pandas Tutorial | Real World Dataset

NOTE: Find Datasets below Welcome to the Data Cleaning Marathon! In this Python tutorial, I take you through the real-world process of cleaning 4 different messy datasets using powerful data wrangling techniques in Python and Pandas. If you've ever struggled with: ✅ Missing values ✅ Duplicates and inconsistent formats ✅ Dirty columns and mixed data types ✅ Urls, and HTML tags in rows …this video is for YOU! Recommended Videos: 1. PowerBI Project Tutorial: https://www.youtube.com/watch?v=aT0t0KQdP5g&t=5620s 2. Data Modelling for Beginners: https://youtu.be/PXEy9V6zNko 3. Interview questions for Data Professionals: https://youtu.be/mk-0sbPsI2c Data cleaning is a crucial step in data analysis, ensuring accurate, high-quality data for decision-making. This tutorial covers everything from data cleaning to a hands-on project where we clean messy datasets using Python! You'll learn step-by-step how to: ✅ Clean dirty CSV and Excel files ✅ Handle missing values, outliers & nulls ✅ Format dates, strings, and numbers ✅ Handling URL and HTML tags in rows using requests and BeautifulSoup in Python ✅ Use Pandas, NumPy, Missingno, and Python best practices ✅ Prepare data for analysis or machine learning 🔽 Timestamp: 00:00 - Introduction 01:02 - Overview of the 4 Messy Datasets 02:45 - Dataset 1: Cleaning Sales Data 08:30 - Dataset 2: Fixing Customer Info Table 14:10 - Dataset 3: Cleaning Financial Transactions 20:50 - Dataset 4: Repairing Product Inventory Sheet 26:45 - Common Mistakes to Avoid in Data Cleaning 28:30 - Summary: Best Practices & Takeaways 30:00 - Final Thoughts + What’s Next 💡 Whether you're a beginner data analyst, data scientist, or Python enthusiast, this tutorial will help you master data cleaning for better analysis and machine learning models. 👉 SUBSCRIBE! Do you want to become a Data Analyst? That's what this channel is all about! My goal is to help you learn everything you need to start your career or even switch your career into Data Analytics. Be sure to subscribe so you do not miss out on any content! 👉 Datasets: https://drive.google.com/drive/folders/10LpZHUSCYD-xidoenqCe2NowHyqzMxca?usp=sharing #datacleaning #pythondatacleaning #dataanalysis #pythonpandas #datascience #datapreprocessing #datacleaningtutorial #machinelearning #datawrangling #bigdata #dataanalytics #pythonprogramming #datapreparation #datasciencetutorial #powerbitutorial #dataanalyst #datascientists #exploratorydataanalysis #alex #python #pythonpackages #seaborn #programming #datavisualization #python #dataanalytics #relatable #datascience #datacleaning #outliers #machinelearning #kaggle #dataanalyst