Anushi Mittal’s Post

SQL is more than just code; it’s a tool for curiosity. 🔍 I just wrapped up a deep dive into SQL foundations. Instead of just following tutorials, I focused on real-world applications—asking questions of the data and building queries to find the answers. What I’ve been building: ✅ Multi-table JOINs to calculate total revenue. ✅ GROUP BY & COUNT logic to track yearly order volumes. ✅ Data segmentation using CASE statements for payment analysis. ✅ Clean reporting using DISTINCT and specific filtering. The goal wasn't just to get the query to "run," but to make it efficient and meaningful. Next stop: Window Functions and Subqueries! 🚀 #DataScience #SQL #LearningPublic #DataAnalyst #TechJourney

Day by day, I’m building a stronger foundation in SQL. Today’s session was packed with powerful concepts: - Alerts - CTE (Common Table Expressions) - Views - Subqueries - Scalar functions Each topic is helping me think more efficiently when working with data and writing optimized queries. Still learning, still improving. #SQL #DataLearning #Analytics #LearningJourney

🚀 Day 13/30 – Subqueries in SQL Ever felt your SQL queries are getting messy? 🤯 👉 That’s where subqueries come in. 💡 Think of it like this: Solve a small problem first → use that result to solve the bigger one. 🔥 What I learned today: ✔ Subquery runs inside the main query ✔ Helps in dynamic filtering ✔ Makes complex logic simple & clean 🧠 3 Types you must know: 🔹 Scalar → single value 🔹 Nested → multiple values 🔹 Correlated → runs for each row ⚡ Real insight: If you understand subqueries well, you’ll write SQL like a pro analyst 💻 📌 Consistency > Perfection Day by day, getting better 🚀 #SQL #DataAnalytics #LearnSQL #LinkedInLearning

💥 Using SELECT * in SQL? Stop doing this 👇 I used to write: 👉 SELECT * FROM table Seems easy… but it caused more problems than I expected 😅 🔍 The Problem: ❌ Fetches unnecessary columns ❌ Slows down query performance ❌ Breaks code if table structure changes ✅ The Better Way: ✔️ Select only required columns: SELECT UserID, UserName, Email FROM users; ✔️ Improves: ⚡ Performance ⚡ Readability ⚡ Maintainability ⚡ Real Issue I Faced: Table had 20+ columns… But I needed only 3 👉 Still, SELECT * was fetching everything 😤 ⚡ Pro Tip: Less data = faster query 🚀 💬 Do you still use SELECT * or avoid it? Let’s discuss 👇 🔖 Save this post—it’s a small habit with big impact! #sql #database #developer #coding #performance #tricks

Your SQL query can be 100% correct… and still give the wrong answer. Here are 5 common SQL pitfalls I’ve seen (and fixed) in real projects 👇 🚀 What’s a SQL mistake that taught you a big lesson? #SQL #DataEngineering #Analytics #Learning #TechCareers

🚀 Day 2 of My SQL Learning Journey Today I learned about the WHERE clause in SQL. 👉 WHERE is used to filter data based on specific conditions. Basic syntax: SELECT column_name FROM table_name WHERE condition; ✔ Helps in retrieving only the required data ✔ Can be used with operators like =, >, <, AND, OR 💡 Learning WHERE made me realize how powerful SQL is when working with large datasets. Excited to keep improving! 🔥 Next: INSERT statement 👀 #SQL #LearningJourney #Beginner #DataAnalytics #Day2 #LearnInPublic

SQL is the backbone of data work, but even the pros forget the specific order of a WINDOW FUNCTION or the difference between UNION and UNION ALL sometimes. I put together this comprehensive SQL Cheat Sheet to keep all the essentials in one place—from basic DML to advanced CTEs and Triggers. ✅ What’s inside: Joins & Set Operations Window Functions & Aggregations Date/Time formatting Transaction control Save this post 📌 so you can find it during your next project, and Tag a friend who’s currently learning SQL! #SQL #DataScience #DataAnalytics #Coding #Database #ProgrammingTips

#Day_33 of My Learning Journey 🚀 | SQL Aggregate Functions Today I explored powerful SQL Aggregate Functions to analyze data efficiently 📊 🔹 Learned functions: • MAX() – highest value • MIN() – lowest value • COUNT() – total records • SUM() – total marks • AVG() – average marks • Using BETWEEN for range filtering #Day33 #SQL #Database #LearningJourney #Coding #DataAnalysis

🧩 SQL Concepts… All in One Sheet Not too advanced, not too basic — just a clean and structured summary of important SQL concepts 👇 When you're learning SQL, the hardest part isn’t always understanding… It’s remembering what to use and when. That’s where something like this helps: ✔️ Basic queries & filtering ✔️ Joins (with visual understanding) ✔️ Aggregations & GROUP BY ✔️ Window functions ✔️ Subqueries, CTEs & more #sql #cheatsheet #data #analytics #datascience

🧠 SQL Cheat Sheet You’ll Actually Use SQL isn’t about syntax. It’s about how you think with data. 📌 Core Blocks: • SELECT → Get data • INSERT / UPDATE / DELETE → Manage data • CREATE / ALTER → Structure data • GRANT / REVOKE → Control access 🔗 JOINS = Real Power Combine tables → Get real insights 📊 Must Know: • COUNT, AVG, MAX • ROW_NUMBER, RANK 💡 You understand this, you can work with any database. 💬 Which part is tricky for you — JOINS or Window Functions? 👇 #SQL #DataAnalytics #LearnSQL #Programming #TechCareers