SQL WHERE vs HAVING: Filtering Data Before and After Grouping

In the world of data, there’s always one friend we rely on. When numbers don’t match and things go wrong, it helps us answer the most important question — why? 🙂 That friend is SQL. The one that brings clarity and confidence to every RCA when data doesn’t align between source and target. I’ve put together a curated set of SQL refresher questions, combining my experience with insights from various resources. Try answering these questions based on your experience. This is just a starting point — I encourage you to explore more and deepen your understanding. Let’s learn from each other and expand this knowledge together. #SQL #DataAnalytics #DataEngineering #DataScience #LearnSQL  #Analytics #Database #CareerGrowth #Upskill #DataCommunity #KnowledgeSharing #TM1 #PlanningAnalytics #Anaplan

Still struggling with SQL? Stop doing this ❌ Here’s the right way to learn SQL for Data Analytics 👇 📌 Step 1: Master SELECT, WHERE, ORDER BY 📌 Step 2: Learn GROUP BY + Aggregations (SUM, AVG) 📌 Step 3: Focus on JOINs (MOST IMPORTANT) 📌 Step 4: Practice with real datasets 📌 Step 5: Solve interview questions 🚀 SQL is not hard — practice makes it easy 💡 Save this & follow Data Daily Hub for daily learning #DataAnalytics #SQL #LearnSQL

Day 7 of posting about Data Analytics. Ever feel like your SQL data is playing hide-and-seek?String functions are your secret weapon! From cleaning up messy text with TRIM() to extracting just the right info with SUBSTRING(), these functions are incredibly powerful. They help you transform raw data into actionable insights, making your reports look great. Today I revisited a few string functions. What's your go-to SQL string function? Share your favorite in the comments. Mine is CONCAT.I love how it gracefully handles NULLS as opposed to using + #DataAnalytics #SQL #StringFunctions ##Datascience #Techcommunity

SQL Data Analytics Roadmap 📊 Mastering SQL for data analytics is about building skills step by step: Start with the basics (SELECT, WHERE, GROUP BY), then move into filtering and aggregations. Learn how to combine data using JOINs, and deepen your analysis with subqueries and transformations. To stand out, focus on analytical functions (RANK, ROW_NUMBER), performance optimization, and understanding how databases work. Key insight: SQL is not just querying data, it’s transforming raw data into insights that drive decisions. Consistency is what builds mastery. #SQL #DataAnalytics #DataScience #BusinessIntelligence #Analytics #LearningSQL #DataSkills

I wish I knew this earlier in SQL. It would have saved me hours of confusion. Most beginners use GROUP BY for everything. But that’s a mistake. Because GROUP BY: → Removes your original data → Limits your analysis WINDOW FUNCTION does the opposite. They let you: - Keep all rows - Add calculations on top - Analyze data like a pro For example: ✔️ Running totals ✔️ Ranking ✔️ Comparing past vs current values All without losing your dataset. 👉 Once you understand this, SQL starts to feel easy. 👉 Save this — you’ll need it when practicing. Follow for more simple data concepts. Aman kr Singh LinkedIn #DataAnalytics #SQL #DataAnalyst #LearnSQL #Analytics #CareerGrowth #DataScience #LinkedInGrowth

Most people think SQL is complicated, but it really comes down to a few core commands that do 90% of the heavy lifting. 📊 Whether you're building a dashboard or conducting a deep-dive analysis, these basics are your best friend. From filtering data with WHERE to aggregating insights with GROUP BY, mastering these commands is the first step toward data fluency. 📌 Save this cheat sheet for your next project! #DataAnalytics #SQL #DataScience #TechTips #ContinuousLearning

While practicing SQL, I started noticing something interesting… The same problem can be solved in multiple ways. Earlier, I used to stop after finding one solution. Now, I try different approaches to build my SQL muscle and understand the logic better. Sharing one simple example where I explored a few ways to solve it. #SQL #DataAnalytics #DataAnalyst #BusinessIntelligence #DataScience #Analytics #TechCareers #EnjoyLearning

100 #SQL queries covering real-world scenarios 🚀 From basics to advanced concepts joins, aggregations, window functions, and performance-focused queries this practice pushed my thinking beyond syntax into problem-solving with data. Key takeaway: 👉 #SQL is not just about writing queries, it's about asking the right questions to your data. Consistent practice like this is helping me strengthen my foundation in Data Analytics and prepare for real business use cases. #SQL #DataAnalytics #LearningJourney #PracticeMakesPerfect #AnalyticsWithPraveen

DAY 18 Understanding Data Questions: The Real Skill Behind SQL Anyone can learn SQL syntax, but the real magic starts before you even touch the keyboard. Understanding what the data question is really asking is half the battle. Is it about trends, comparisons, or anomalies? Are we summarizing individual records or aggregated patterns? Do we need a single metric or a story from multiple joined tables? Once you truly understand the question, you can pick the right SQL tool for the job: GROUP BY + aggregates for summaries and KPIs JOINs to connect relationships across datasets CASE WHEN for conditional logic WHERE for filtering rows based on condition The stronger your grasp of data logic, the more powerful your SQL becomes. It’s not just about writing queries it’s about turning questions into insights. #DataAnalytics #SQL #DataAnalysis #BusinessIntelligence #DataThinking

🚀 SQL Scenarios – Day 07 Continuing my journey of solving real-world SQL problems to strengthen my data analytics skills 💻📊 📌 Today’s Focus: ✔️ Custom sorting using CASE WHEN ✔️ Fixing running total calculations using window functions 🔹 What I Practiced Today: 👉 Learned how to force priority rows like “India” to appear first in dashboards using custom sorting 👉 Used CASE WHEN inside ORDER BY to control business-driven report presentation 👉 Understood why running totals behave incorrectly with duplicate values 👉 Fixed cumulative sum issues using ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW 💡 Key Takeaway: Small changes in SQL logic can completely improve reporting accuracy and dashboard presentation — especially in real-world analytics projects. Grateful to Ankit Bansal and Shashank Singh 🇮🇳 Singh for the valuable insights 🙌 #SQL #DataAnalytics #DataAnalyst #SQLPractice #WindowFunctions #LearningJourney #InterviewPreparation #Analytics #SQLTips #LinkedInLearning