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Watch me CLEANING DATA with SQL & AI in minutes
🚀 FREE INTRO - START HERE:
https://www.bigdataenergycourses.com/step-1
🌱 FREE 5-DAY DATA CAREER KICKSTART:
https://www.bigdataenergycourses.com/kickstart
⚡ INTERMEDIATE COURSE:
https://www.bigdataenergycourses.com/step-3-big-sql-energy
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
https://youtu.be/vlltZIgn284
🤳🏼 SOCIALS
📫 Newsletter: https://jessramosdata.substack.com/
📸 Instagram: @JessRamosData
💙 LinkedIn: Jess Ramos, MSBA
🎬 TikTok: @JessRamosData
💌 Brand Partnerships: partnerships@bdeanalytics.com
Видео Watch me CLEANING DATA with SQL & AI in minutes канала Jess Ramos | Data, AI, & Tech ⚡️
https://www.bigdataenergycourses.com/step-1
🌱 FREE 5-DAY DATA CAREER KICKSTART:
https://www.bigdataenergycourses.com/kickstart
⚡ INTERMEDIATE COURSE:
https://www.bigdataenergycourses.com/step-3-big-sql-energy
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
https://youtu.be/vlltZIgn284
🤳🏼 SOCIALS
📫 Newsletter: https://jessramosdata.substack.com/
📸 Instagram: @JessRamosData
💙 LinkedIn: Jess Ramos, MSBA
🎬 TikTok: @JessRamosData
💌 Brand Partnerships: partnerships@bdeanalytics.com
Видео Watch me CLEANING DATA with SQL & AI in minutes канала Jess Ramos | Data, AI, & Tech ⚡️
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23 октября 2025 г. 20:04:03
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