This Dataset Looks Fine… But It’s WRONG (Python Data Check)
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• Build Your First Data Analyst Portfolio Pr...
Want to learn how real data analysts handle messy data? In this video, I’ll show you how to identify common data issues using Python and Pandas—including missing values, duplicate rows, inconsistent categories, and broken date formats.
Before you clean your data, you need to understand what’s wrong — and that’s exactly what we’re doing in this beginner-friendly data cleaning project.
In this series, we’ll take a real messy dataset and turn it into something you can use for SQL, dashboards, and real-world analysis.
🔍 In this video, you’ll learn:
How to identify missing values in a dataset
How to detect duplicate rows
How to find inconsistent text values (USA vs usa vs United States)
How to spot broken or invalid date formats
Why data cleaning is the most important step in data analysis
Download VS code and Jupyter Notebook: • How to Install Python, VS Code & Jupyter N...
🚀 Next Video (Cleaning the Data Step-by-Step) (coming soon).
📁 Download the dataset used in this video:
👉 https://docs.google.com/spreadsheets/...
OR
📦 *Download the Complete Real Data Analyst Project Kit*:
👉 https://www.datageekismyname.com/anal...
Includes the datasets, Python code, PostgreSQL setup, SQL analysis files, Power BI dashboard, interview prep, and portfolio guides *used throughout this series*.
Continue your learning :
If you’re learning Python for data analytics and want a structured guide, I put everything into a book with real examples.
📘 Python for Data Cleaning → 👉 https://a.co/d/iiMzQQH
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