Pratyasha Bhanu’s Post

My First SQL Query Took 30 Minutes It was simple. But I had no idea what I was doing. Now it takes 2 minutes. The difference? Not intelligence. Just repetition. If you're learning SQL: You're not behind. You're exactly where you should be! #SQL #DataAnalytics #Learning

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

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

Second step in my transition — building a strong foundation in SQL. Over the past few days, I focused on learning and practicing core SQL concepts, moving beyond basics. Covered: · Subqueries · Joins · Aggregations · Stored Procedures · User-Defined Functions Instead of just learning syntax, I worked on understanding how these concepts are used to handle structured data and solve real problems. Currently applying these concepts in small practice datasets and preparing for more project-based work next. Step by step — focusing on building practical skills. #SQL #DataAnalytics

SQL isn’t just about writing queries… it’s about understanding how data really works. From SELECT, JOINs, and WHERE → to functions, keys, and performance — everything connects like layers of a cake 🍰 The more you explore, the more powerful your queries become. Still learning, still querying 🚀 #SQL #DataAnalytics #Learning #Database

🚀 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

Most people try to learn SQL by memorizing everything… and end up overwhelmed. The truth is, you don’t need hundreds of commands. Just understanding a few core concepts can take you really far. I came across this visual that breaks down 20 essential SQL concepts — and honestly, if you focus on these, you’re already ahead of most beginners. If you're starting out, focus on: - SELECT & WHERE → getting and filtering data - JOIN → combining tables (this is where things click) - GROUP BY & HAVING → analyzing data Once you’re comfortable with these, everything else becomes much easier. Which SQL concept do you find the most confusing right now? #SQL #DataAnalytics #Learning #TechSkills #CareerGrowth

Today’s SQL Learning: Functions + Wrapping Queries I spent time understanding SQL Functions deeply — not just writing them, but actually knowing where and how to use them in real queries Here’s what I explored 👇 🔹 Learned how to create reusable functions 🔹 Used functions inside different clauses: ✔ SELECT → for calculated columns ✔ WHERE → for filtering ✔ ORDER BY → for sorting ✔ GROUP BY & HAVING → for grouping & filtering data ✔ CASE → for adding logic But the most important realization today was 👇 ❌ Functions have limitations * Cannot return multiple rows * Cannot directly use INSERT / UPDATE inside them * Cannot behave like full queries 👉 That means we can’t wrap every query inside a function 👉 We must convert logic into single-value outputs 🔥 Today I feel: * More confident with SQL functions * Better understanding of when to use functions vs queries * More comfortable writing clean, reusable logic #SQL #DataAnalytics #LearningJourney #Functions #SQLPractice #Growth

Day 27 of my SQL Night Learning Journey 🌙 Today, I learned about the SELECT INTO statement, and it made things feel a lot more practical. In simple terms, SELECT INTO helps you create a new table from an existing one while copying the data into it at the same time. Think of it like: “Take this table, duplicate it, and save it as a new one.” This is especially useful when: You want to create a backup of your data You need a temporary table to run the analysis without touching the original data One important thing I learned: The new table copies the columns and data types, but it does NOT automatically include things like: Primary keys Indexes NOT NULL constraints So it’s not a perfect clone, but it gets the job done for most use cases. A simple example that stood out to me: Creating a backup of a table by copying everything into a new one. Little by little, SQL is starting to feel less intimidating and more like a tool I can actually use 🛠️ #SQL #LearningInPublic #DataAnalytics #BeginnerFriendly #TechJourney #Consistency #WomenInTech

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