Harrison Obamwonyi’s Post

📊 From Confusion to Clarity: My SQL Learning Journey When I first started learning SQL, everything felt simple… until it wasn’t 😅 I knew basic commands like: SELECT WHERE ORDER BY But the real challenge began when I faced: ❌ Joins ❌ Group By with Aggregations ❌ Window Functions At one point, I was just writing queries that worked… without fully understanding why they worked. 💡 Then I changed my approach: Instead of memorizing queries, I started focusing on understanding the logic behind them. Here’s what helped me the most 👇 ✔️ Breaking down queries step-by-step ✔️ Practicing with real datasets ✔️ Revisiting mistakes and fixing them ✔️ Learning how data actually flows in a query 📈 Gradually, things started making sense: Joins became easier to visualize Aggregations felt more logical Writing optimized queries became possible 🎯 Key Lesson: 👉 Don’t just write SQL queries — understand the story the data is telling. I’m still learning, improving, and exploring more advanced concepts every day 🚀 If you’re also on your SQL journey, trust the process — consistency beats everything! #SQL #DataAnalytics #LearningJourney #DataScience #Beginners #KeepLearning #CareerGrowth

Many people say they “know SQL”… But very few can actually solve real problems with it. While working through SQL Practice Problems, one thing became clear: 👉 SQL is not about memorizing queries 👉 It’s about thinking in data 💡 What stands out: The book is built around: 👉 57 problems from beginner to advanced 👉 A learn-by-doing approach that forces real understanding. From simple queries like: ✔ Selecting data ✔ Filtering with WHERE To more advanced concepts like: ✔ Joins across multiple tables ✔ Grouping and aggregation ✔ Solving real-world business questions 🔍 Realization: As seen throughout the problems (pages 4–7): 👉 SQL skills are built progressively You move from: 🔹 Basic SELECT statements 🔹 To filtering and sorting 🔹 To joins and aggregations 🔹 To real analytical thinking ⚡ What this means for us: If we want to truly learn SQL: 👉 We must stop just watching tutorials 👉 We must start solving problems consistently Because: 🚫 Knowing syntax ≠ Knowing SQL ✅ Solving problems = Real skill 💡 OUR TAKEAWAY If we want to become better in data: 👉 We must practice 👉 We must struggle 👉 We must think through problems Because: Passive learning fades Active practice sticks What helped you learn SQL better — tutorials or solving real problems? Credit: Sylvia Moestl Vasilik #SQL #DataEngineering #DataScience #Database #TechSkills #Learning #Analytics #Programming

Understanding SQL Execution Order (Step-by-Step) If you’re learning SQL, this is something that can completely change how you write queries 👇 Most beginners think SQL runs like this: 👉 SELECT → FROM → WHERE ❌ But in reality, SQL follows a completely different execution order: ✔️ FROM + JOIN → Build the dataset ✔️ WHERE → Filter rows ✔️ GROUP BY → Create groups ✔️ HAVING → Filter groups ✔️ SELECT → Choose columns ✔️ DISTINCT → Remove duplicates ✔️ ORDER BY → Sort results ✔️ LIMIT → Restrict output 💡 Simple Memory Trick: 👉 Build → Reduce → Format Build → FROM, JOIN Reduce → WHERE, GROUP BY, HAVING Format → SELECT, DISTINCT, ORDER BY, LIMIT 📌 Why this matters? Because understanding this: Helps you debug queries faster Improves query optimization Makes you think like a real data professional If you're learning SQL, this is a must-know concept 🚀 👉 Save this for later 👉 Share with someone learning SQL #SQL #DataAnalytics #DataScience #LearnSQL #SQLTips #Database #Programming #TechLearning #DataEngineering #Analytics #Coding #LearnToCode #CareerGrowth #LinkedInLearning #TechCareer #SoftwareEngineering #DataProfessionals

Understanding SQL Execution Order (Step-by-Step) 🚀 If you're learning SQL, this concept can completely change how you write and debug queries 👇 Most beginners assume SQL executes like this: 👉 SELECT → FROM → WHERE ❌ But the actual execution order is: ✔️ FROM + JOIN → Build the dataset ✔️ WHERE → Filter rows ✔️ GROUP BY → Group data ✔️ HAVING → Filter grouped results ✔️ SELECT → Choose required columns ✔️ DISTINCT → Remove duplicates ✔️ ORDER BY → Sort results ✔️ LIMIT → Restrict output 💡 Simple way to remember: 👉 Build → Reduce → Format Build: FROM, JOIN Reduce: WHERE, GROUP BY, HAVING Format: SELECT, DISTINCT, ORDER BY, LIMIT 📌 Why this matters? Helps debug queries faster Improves query optimization Builds a strong foundation in data handling Understanding execution order helps you think like a developer, not just someone writing queries 💡 👉 Save this for future reference 👉 Share with someone learning SQL #SQL #Database #LearningInPublic #TechGrowth #DeveloperJourney

🚀 Mastering SQL is no longer optional—it’s a core skill for anyone working with data. Whether you're a beginner or an experienced developer, having a quick reference can significantly improve your efficiency. Sharing this SQL Cheat Sheet that covers everything from basics to advanced concepts like joins, window functions, and subqueries. 💡 Key Highlights: • Query writing fundamentals • Data filtering & aggregation • Joins & subqueries • Performance-focused operations • Real-world useful functions This is the kind of resource I wish I had when I started learning databases. If you're working with data, this might save you time and help you write better queries. 📌 Save it for later and keep learning! Let’s connect and grow together in the world of data 👇 #SQL #DataAnalytics #Database #Programming #Learning #CareerGrowth #DataScience 🚀

I used to think SQL is just about writing queries. But I was wrong. SQL is the language behind decisions. It’s how companies understand customers, track growth, and make smarter moves. So I started learning the basics — ✔ SELECT ✔ UPDATE ✔ ALTER ✔ DROP Not just to learn a tool… …but to build a skill that actually matters in the real world. I’m still a beginner. But I’ve started — and that’s what counts. 🚀 If you’re also learning SQL, let’s grow together. 👉 What was the first SQL command you learned? #SQL #DataAnalytics #LearnInPublic #CareerGrowth #Beginners #TechJourney

📊 5 SQL Mistakes Beginners Should Avoid While learning SQL, I realized that small mistakes can lead to completely wrong insights. Here are some common mistakes I came across: ❌ Not using WHERE clause properly ❌ Confusing INNER JOIN with LEFT JOIN ❌ Ignoring NULL values ❌ Using SELECT * everywhere ❌ Not practicing on real datasets 💡 These might look small, but they can seriously affect your data analysis results. I’m currently improving my SQL skills by practicing daily and working on real-world datasets. If you're learning SQL, avoid these mistakes early 👍 #SQL #DataAnalytics #Learning #Beginners #CareerGrowth

📊 5 SQL Mistakes Beginners Should Avoid While learning SQL, I realized that small mistakes can lead to completely wrong insights. Here are some common mistakes I came across: ❌ Not using WHERE clause properly ❌ Confusing INNER JOIN with LEFT JOIN ❌ Ignoring NULL values ❌ Using SELECT * everywhere ❌ Not practicing on real datasets 💡 These might look small, but they can seriously affect your data analysis results. I’m currently improving my SQL skills by practicing daily and working on real-world datasets. If you're learning SQL, avoid these mistakes early 👍 #SQL #DataAnalytics #Learning #Beginners #CareerGrowth

🚀 My SQL Learning Journey: From Basics to Advanced I’ve been building my SQL skills step by step, focusing on creating a strong and practical foundation in data handling and analysis 📊 🔹 1. Fundamentals (Getting Started) ✔️ Learned different Data Types and how data is stored ✔️ Understood SQL operations: DDL, DML, DCL ✔️ Practiced creating, updating, and managing tables 🔹 2. Core Querying Skills ✔️ Worked with essential clauses: SELECT, WHERE, GROUP BY, HAVING, ORDER BY ✔️ Used Aggregate Functions (SUM, COUNT, AVG, etc.) to analyze data ✔️ Built queries to filter, sort, and summarize datasets 🔹 3. Intermediate Concepts ✔️ Explored different types of JOINs (INNER, LEFT, RIGHT, FULL) 🔗 ✔️ Combined multiple tables to solve real-world data problems ✔️ Improved query writing with better logic and readability 🔹 4. Advanced SQL ✔️ Learned Window Functions for advanced analytics 📈 ✔️ Used CTE (Common Table Expressions) for cleaner and modular queries ✔️ Applied CTAS (Create Table As Select) for data transformation ✔️ Worked with Temporary Tables and Views for better data management 🔹 5. Database Design & Optimization ✔️ Understood ER Diagrams & ER Modeling 🧩 ✔️ Learned Stored Procedures for reusable logic ✔️ Focused on writing efficient and structured queries 💡 This is the learning path to build a strong SQL foundation—from basics to advanced concepts—focused on real-world problem solving. 🫡Thanks Darshil Parmar for this course which helped me to clear SQL concept.🎯 #SQL #DataEngineering #LearningJourney #Database #Analytics #CoreConcept #Datavidhya

If you’re learning SQL, understand this early WHERE vs HAVING A lot of beginners confuse these two… Here’s the simple difference: • WHERE → filters data before grouping • HAVING → filters data after grouping Example: If you want to filter rows → use WHERE If you want to filter aggregated results (like SUM, COUNT) → use HAVING Understanding this will save you from many SQL mistakes. As a Data Analyst Instructor, I see this confusion a lot. Master the basics,they make everything easier later. Have you used WHERE or HAVING before? 👇 #DataAnalytics #SQL #DataAnalysis #LearningJourney #Tech