SQL CHALLENGE #3 - Sort it out! 📊 You have a students table: id | name | score 1 | Fatima | 78 2 | John | 92 3 | Ngozi | 85 4 | Ahmed | 92 5 | Tola | 67 ✅ TASK: Write a query to show all students sorted by score from highest to lowest. If two students have the same score, sort them alphabetically by name. Drop your answer below 👇 #SQL #OrderBy #DataSkills #SQLChallenge

⚡ SQL CHALLENGE — DAY 2 Working on real data from Ikeja Electric 📥 Dataset: t.me/emperor_data #SQL #DataAnalytics #SQLChallenge

⚡ SQL CHALLENGE — DAY 2 Working on real data from Ikeja Electric 📥 Dataset: JOIN US HERE t.me/emperor_data #SQL #DataAnalytics #SQLChallenge

Day 5 of My 7-Day SQLChallenge Today’s breakdown ⚡ • Aggregate functions (SUM, COUNT, etc.) • String functions (CONCAT, LENGTH, etc.) • Mathematical functions • GROUP BY clause • Deeper dive into constraints Leveling up my SQL game one step at a time More coming… 🔥 Gn✨

Since February, we’ve been building real SQL projects. Now it’s time to CONNECT 🤝 Join my LIVE SQL Challenge Webinar to network, grow, and level up your SQL. 📅 Feb 25, 2026 🔗 t.me/emperor_data Let’s build together. 🚀 #SQL #DataAnalytics #SQLChallenge

SQL Question Asked at Meta (Facebook) Interview! Topic: JOINs Aggregation Table 1: user_posts->post_id, user_id, created_at Table 2: post_shares ->share_id, post_id, shared_at Q: Find the average number of shares per post for each user. ->Users with ZERO shares should show 0 (not NULL) -> Order by avg_shares DESC Hint: You'll need LEFT JOIN COALESCE Drop your query below #SQL #MetaInterview #FAANG #DataScience #SQLChallenge #100DaysOfCode

So proud seeing @Lawal_Analyst grow through my SQL Challenge 🥹🔥 From no SQL in school to advanced level just by taking action. This is why I built it. Skills > excuses. #SQLChallenge #DataAnalytics #SQL #Growth

No fake data. No theory. I built a real SQL project—just like in the 30 Days SQL Challenge. 📅 Feb 1 | 💻 Learn by doing 🚀 Join: t.me/emperor_data 📝 Register: lnkd.in/dDCw2BEv #SQLChallenge #LearnByDoing #SQLProj

Today’s episode on SQL SQLBolt Lessons 1-3: - Introduction to SQL - SELECT queries basics - Queries with constraints (WHERE) Goal: Understand how to ask databases for specific data Will report back tonight with what I learned. #SQLChallenge #DataAnalytics #LearningInPublic

Day 2/21 ✅ SQL Challenge 📊 Problem: Calculate BMI & flag obese patients 🔑 Key concepts: BMI formula: weight/(height²) POWER() for exponents CAST() for type conversion Boolean conditions (>= 30) Building momentum! 💪 #SQLChallenge #Day2 #DataScience #LearnSQL #HealthcareData

Challenge-2: Write an SQL / Python query to fill the answer template for the given question #SQLChallenge #PythonChallenge

💡 SQL Challenge: Second Highest Salary Table: employee (id, salary) 👉 Find the 2nd highest distinct salary. 👉 If it doesn’t exist → return NULL. Try it out & share your solution! 🔗 Schema Solution included. github.com/iagam/sql-practic… #SQL #DataAnalytics #SQLChallenge

Day 37 of my #100DaysOfCode challenge!🚀 ✅Problem no. --> 2095 #LeetCode #DSA ✅Autocommit & transactions #sqlchallenge ✅discussed some os concepts with friends ✅College 10 to 5 #buildinpublic #developing #DevCommunity #connection

Day 35 of my #100DaysOfCode challenge!🚀 ✅Problem no. --> 328 #LeetCode #DSA ✅Constraints #sqlchallenge ✅ Event Bubbling ,Capturing #JS ✅Git commits #GitHub #buildinpublic #developing #DevCommunity

Day 32 of my #100DaysOfCode challenge!🚀 ✅Problem no. --> 876 ,206 #LeetCode #DSA ✅595,1148,1683 #sqlchallenge #LeetCode ✅adding more events #JS ✅Choosen a major college project for 7th sem #AI #ML ✅Git commits #GitHub #buildinpublic #developing #devcommunity #connection

Day 7 of my 7-day #SQLChallenge! Today I Solved 10 SQL miscellaneous questions and completed SQL challenge . Let's Start another Challenge with DSA Aptitude. #SQL #LearningInPublic #Postgres

Day 5 of my 7-day #SQLChallenge! Today I learned about Join in SQL . #SQL #LearningInPublic #Postgres

Day 23 of #30DaysOfSQL Today I used NTILE() to divide films into 4 quartiles by rental rate in the Sakila DB. Task: Divide customers into 4 quartiles based on their total payments, show quartiles each belong to. #SQLChallenge #DataAnalytics #TechTwitter #TechTips #datafam

Day 23 of #30DaysOfSQL Today I used NTILE() to divide films into 4 quartiles by rental rate in the Sakila DB. Task: Divide customers into 4 quartiles based on their total payments, show quartiles each belong to. #SQLChallenge #DataAnalytics #TechTwitter #TechTips #TechTrends

Day 22 of my #30DaysOfSQL Today I explored LAG() function which makes it easier to compare rows without messy self-joins Task : Show the previous rental date for each customers #SQLChallenge #MySQL #LearnSQL #DataAnalytics #Sakila #SQLTips #TechTwitter #TechTip