SQL Conditional Logic with CASE WHEN THEN

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 18 of my SQL learning journey has been insightful as I explored the CASE Statement. I applied IF-THEN logic in SQL, categorized data using conditions, and created dynamic columns. A key takeaway from today is the importance of transforming data using logic, not just queries. SQL continues to grow in power every day. #SQL #LearningJourney #Day18 #DataAnalytics #TechSkills

Learning SQL made me realize something important 👇🏻 Data is useless if you can’t query it properly. Even a simple query like: • SELECT • WHERE • ORDER BY can completely change how you see data. Still practicing, but it's getting interesting 🚀 #SQL #DataAnalytics #Database #LearningSQL

Most beginners ignore this in SQL… 👇 Data types might look basic, but they decide how your data is stored, processed, and optimized. Right choice = better performance ⚡ Wrong choice = slow queries + messy data If you're learning SQL, don’t skip this. Basics build everything. #SQL #DataAnalytics #Database #TechSkills #LearningInPublic #Beginners #CareerGrowth #SQLLearning #DataScienceJourney #ProgrammingBasics #TechCareers #Upskill #Students

🚀 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 made simple 👇 From SELECT to JOIN, GROUP BY to SUBQUERY — this cheatsheet covers the core concepts every beginner needs to get started with SQL. Mastering these basics is the first step toward becoming a strong data analyst. Keep learning, keep querying 🚀 #SQL #DataAnalytics #LearningJourney #Beginners #DataSkills

Day 24: SQL journey begins Structured Query Language is how we interact with data in databases, from retrieving information to answering specific questions. At its core, it’s simple: SELECT what you need FROM where the data lives WHERE the condition matters Learning SQL is learning how to think with data. #DataAnalytics #SQL #LearningInPublic #DataScience

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

#Day_12 of Learning SQL . Today I revisited and strengthened my understanding of: ✔️ INNER JOIN – combining data from related tables ✔️ UNION – merging results from multiple queries -Key Learning: Revisiting concepts with practice helps in building a deeper understanding. INNER JOIN becomes more powerful when applied to real datasets. Focusing on consistency and improving step by step. #SQL #DataAnalytics #LearningJourney #Database #Consistency

One of the biggest shifts in SQL learning is moving from simple queries to working with multiple tables. Recently focused on JOINs to connect datasets and understand relationships between them, along with UNION to merge query outputs efficiently. This is where SQL starts becoming powerful — not just fetching data, but structuring it in a way that answers real business questions. Continuing to build stronger query logic and analytical thinking step by step. #SQL #DataAnalytics #Learning #DataAnalyst