🚀 FREE INTRO - START HERE: 🌱 BEGINNER COURSE: ⚡ INTERMEDIATE COURSE: In this video, I show you the top 7 SQL data cleaning skills that every analyst needs to know, plus how to leverage AI to speed up the process without fully relying on it. I SHOW real-world examples of cleaning messy data in Snowflake - from removing quotes and handling nulls to standardizing dates and removing duplicates. I also explain why you can't just copy-paste AI solutions without validating them first, and the ethical concerns around putting company data into AI tools. 00:00 - Data cleaning with AI vs manual SQL 00:44 - Why data cleaning matters for analysts 01:05 - Testing AI's data cleaning capabilities 02:56 - Problems with AI-cleaned data 04:55 - Job search roadmap and data security 06:04 - Removing quotes from strings with REPLACE 08:41 - Combining first and last names with CONCATENATE 12:15 - Cleaning messy dates and timestamps 14:00 - Handling null values with COALESCE 16:28 - Checking for and removing duplicates 18:51 - Fixing null concatenation issues 21:38 - Standardizing state values with CASE statements 24:25 - Final thoughts on AI and SQL skills 🤳🏼 SOCIALS 📫 Newsletter: 📸 Instagram: @JessRamosData 💙 LinkedIn: Jess Ramos, MSBA 🎬 TikTok: @JessRamosData 💌 Brand Partnerships: partnerships@