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Day 13 of the #HTTDatachallange. It gets more interesting, using (SQL)Sub queries to figure out the customer who has made orders above average order value.Every step brings us closer to a solution. ๐Ÿค๐Ÿš€. #SQLQueries #SQLSubQueries
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Day 12 of the #HTTDatachallange we advanced more into joining tables while trying to get Total sales and Average order values by REGION ๐Ÿค๐Ÿš€. #SQLQueries
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when dealing with real, messy datasets. Open to constructive feedback. Thank you #datafam #TDI #SQLqueries #dataanalytics #buildinginpublic My appreciation goes to @DabereNnamani , @JudeRaji_ and @TDataImmersed Still learning. Still improving. But definitely growing ๐Ÿš€
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SQL without WHERE returns everything. SQL with WHERE returns what actually matters. #SQLTips #DataAnalytics #SQLQueries
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๐Ÿ”ฅ Mastering SQL in 1 Line at a Time! Think SQL is boring? Try running this: SELECT department, COUNT(*) AS team_size FROM employees GROUP BY department HAVING COUNT(*) > 5; ๐Ÿ’ก This simple query finds departments with more than 5 team members. Imagine the insights you could unlock with just a few lines of SQL! ๐Ÿ“Š Whether you're in data science, marketing, or management โ€” SQL is the real power move. Itโ€™s not just for developers anymore. ๐Ÿ‘€ Want more bite-sized, real-world SQL queries that actually make sense? Retweet and ๐Ÿ’ฌ give me your Feedback in the comments Follow me and Saved it for later used !! #SQL #DataAnalytics #DataScience #LearningSQL #TechTips #LinkedInLearning #SQLQueries #CareerGrowth
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