Used SQL Island for a quick brush-up on SQL 🎯 Simple, interactive, and a great way to revisit core concepts without the usual grind. Back to building 🚀 #SQL #DataAnalytics #Learning
Revisiting SQL with SQL Island
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No matter how long you’ve worked with SQL, you always end up revisiting the basics. Joins, CTEs, window functions, optimization — fundamentals never stop being useful. Sometimes the best learning is simply going back to the core. 🚀 What’s one SQL concept you use all the time? #SQL #DataAnalytics #ContinuousLearning #LearningJourney #TechCommunity
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🚀 Learning never stops! Currently exploring Advanced SQL concepts like Window Functions, CTEs, and complex joins—turning messy data problems into structured solutions. Getting better, one query at a time 💪 #SQL #DataAnalytics #LearningJourney
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Day 15 of my SQL series Today I covered window functions using ROW_NUMBER. This allows us to rank data without grouping it — a very powerful concept in SQL. Next: RANK & DENSE_RANK #SQL #DataAnalytics #Learning #CareerGrowth
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Your SQL Roadmap in one visual 🗺️ Navigating through Joins, Window Functions, and Aggregate Functions can be overwhelming when you're starting out. This chart breaks down exactly how commands like GROUP BY, JOIN, and RANK() fit into the bigger picture. Pro-tip: Mastering Window Functions is what separates a beginner from an intermediate analyst. What’s the hardest SQL concept you’ve tackled so far? #SQL #DataAnalysis #BigData #CareerGrowth #Learning #codebasics #powerbi
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Solved a simple SQL problem today but learned a powerful concept Used left join to include all employees even those who did not get any bonus Then filtered for bonus less than 1000 or null Small problems but big clarity SQL is not about writing queries It is about thinking clearly Consistency over perfection #sql #dataanalytics #learning #beginners #growth #linkedinlearning
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🚀 Day 10/30 — Breaking Down a SQL Query Most beginners fear SQL… But it’s just logic 👇 SELECT → what FROM → where WHERE → condition 💡 Once you think in questions, SQL becomes easy 💬 What part of SQL is hardest for you? #SQL #LearningSQL
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“Here is some basic SQL notes… saved for future me (and anyone else who needs it).” Because let’s be honest — we all learn SQL… and then forget the syntax the moment we actually need it 😅 So instead of pretending I’ll remember everything, I decided to document the basics: - Core queries - Filtering - Aggregations - Joins & more Nothing fancy. Just the stuff that actually gets used. Sometimes the smartest thing in tech isn’t knowing everything… it’s knowing where you saved it 😉 #SQL #DataAnalytics #DataScience #LearningInPublic #TechNotes
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Window Functions in SQL always felt confusing to me — especially OVER(), PARTITION BY and ORDER BY. So I tried breaking it down in the simplest way possible. A detailed explanation on all window functions will be in the next post. Till then, happy learning 🚀 #SQL #DataEngineering #WindowFunctions #openfornewopportunity #datalearning
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Window functions, CTEs, and CASE-driven aggregations are what separate analyst-level SQL from interview-grade SQL — and they're where most self-taught learners stall. Our SQL Mastery course is built specifically for that gap. It's free, runs entirely in your browser, and walks through 4 modules in 5-6 hours: → Conditional Logic & NULL Handling — CASE WHEN, COALESCE, NULLIF, and the silent bugs NULLs cause in aggregations → Data Transformation Functions → Subqueries & CTEs → Window Functions Each module combines animated explanations with hands-on practice — no setup, no installs. The prerequisite is SQL Fundamentals, so it picks up exactly where most beginner courses leave off. If you can write a SELECT and a JOIN but freeze the moment an interviewer asks for a 7-day rolling average or "rank customers by revenue per region" — this is the course to fix that. Start here: https://lnkd.in/ePhk4eEE #SQL #DataScience #DataAnalytics #CareerGrowth #LetsDataScience
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3 SQL patterns I use every week (that tutorials don’t teach you) Most SQL courses stop at SELECT and GROUP BY. Real analyst work starts after that. Here are 3 patterns I rely on constantly: 1. Window functions → Running totals and rankings without messy subqueries 2. CASE WHEN → Quick segmentation (e.g. flagging SLA breaches inline) 3. CTEs → Breaking complex logic into readable steps None of these are “advanced”. But they’re the difference between: a query that works and a query someone else can actually use. 👇 What’s one SQL trick you use all the time? #SQL #DataAnalytics #DataAnalyst #Analytics
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