Gemini x Python: Clean & Analyze Data in 10 Minutes

Have you ever been in this situation? Open a new CSV file, see dozens of columns, thousands of rows… and don’t know where to start? Spend 3-5 hours just to clean basic data and rewrite repetitive code? Do EDA manually but still miss missing values, don’t recognize hidden outliers, or miss important relationships between variables? 😩 If this sounds familiar, congratulations – you’re not alone. This is the pain of most Business Analysts when working with real data. --- The problem for most Analysts is not that they are not good at analysis, but that they spend too much time on the data preparation step. And what’s worse: we often miss important outliers, handle them inconsistently, leading to incorrect analysis results. That’s why more and more Business Analysts are turning to AI to speed up the Data Cleaning & EDA step. If done correctly, you can reduce 4–8 hours of manual processing to just 20–30 minutes, while still ensuring clean data, rigorous analysis, and clear reporting. ➜ Download the code file I used & dataset in this blog: https://madzynguyen.com/tang-toc-data... ➜ Dataset: https://drive.google.com/file/d/1E44w... ➜ ​​If you want to learn about Power BI to build Automation dashboards & analyze data insights, I have a class here: https://madzynguyen.com/product/maste... Content video: 00:00 - Intro 01:12 - Data import & overview 04:52 - Data cleaning 08:05 - Data alert & export report #dataanalyst #gemini #python #eda