#21dayssqlchallenge search results

Day 5 – IDC 21 Days of SQL w/ #DPDzero Task: Get total patients admitted, total refused & avg satisfaction (2 decimals) 👇 Aggregation = real insight for healthcare decisions 📊 On to Day 6 🚀 @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #Day5

Day 5 of #21DaysSQLChallenge by @indiandataclub & @dpdzero Topic: Aggregate Functions (COUNT, SUM, AVG, MIN, MAX) Learned how to summarize data using aggregate functions. Used SUM() for totals and AVG() for averages, and rounded results for readability. #21DaysSQLChallenge

Day 5 of #21DaysSQLChallenge 🚀 Today’s focus: Aggregate Functions, the secret to turning rows into insights! Key takeaways: • COUNT(*) vs COUNT(column) • AVG(), SUM(), MIN(), MAX() = instant stats • Use DISTINCT for unique counts #SQLWithIDC

🗓️Day 5 of #21DaysSQLChallenge by @indiandataclub! Today's topic: Aggregate Functions 📊 Instead of scanning thousands of rows, you can just ask SQL to give you the big picture using functions like: 🔹 COUNT() 🔹 SUM() 🔹 AVG() 🔹 MIN() 🔹 MAX() #SQLWithIDC #SQL

Day 5 of my 21 Days SQL Challenge ⚡ Aggregate Functions (COUNT, SUM, AVG, MIN, MAX) Topics: COUNT, SUM, AVG, MIN, MAX functions Challenge by @indiandataclub & @dpdzero #21DaysSQLChallenge #sqldevelopers #LearnSQL #DataAnalytics #SQLwithIDC #DataScience #sqlknowledge

Day 5 | #21DaysSQLChallenge with @indiandataclub & @dpdzero 💪 Learned to summarize data using: 🔹 COUNT() SUM() AVG() MIN() MAX() 🔹 Rounded averages with ROUND() 💡 Challenge: Calculate total admits, refusals & avg satisfaction 🏥 #SQLWithIDC #SQL #DataAnalytics

Day 4 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero 🧩 Topic: LIMIT and OFFSET 💻 Challenge: Fetch 3rd–7th highest patient satisfaction scores 👇 SELECT patient_id, name, service, satisfaction FROM patients ORDER BY satisfaction DESC LIMIT 5 OFFSET 2; #SQLWithIDC

Day 4 of my 21 Days SQL Challenge ⚡ LIMIT and OFFSET Topics: LIMIT, OFFSET, pagination concepts Challenge by @indiandataclub & @dpdzero #21DaysSQLChallenge #sqldeveloper #LearnSQL #DataAnalytics #SQLwithIDC

Day 4 of #21DaysSQLChallenge by @indiandataclub & @dpdzero Topic: LIMIT & OFFSET Used OFFSET and FETCH to get the 3rd to 7th highest distinct satisfaction scores. To fetch full patient details for these ranks, we will use DENSE_RANK() in upcoming lessons. #21DaysSQLChallenge

Day 4 – IDC 21 Days of SQL w/ #DPDzero Task: Get the 3rd to 7th highest patient satisfaction scores 👇 Learning rank logic = better control over real-world data slices 🔍 On to Day 5 🚀 #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day4

🗓️Day 4 of #21DaysSQLChallenge by @IndianDataClub! Today’s concept: LIMIT & OFFSET🎯 They control how many rows you see and from where they start! 💡LIMIT = restrict results 💡OFFSET = skip rows Perfect for pagination — just like flipping pages in a book!📘 #SQLWithIDC #SQL

📅 Day 4 | #21DaysSQLChallenge with @indiandataclub & @dpdzero 💪 Learned to: 🔹 Use LIMIT & OFFSET for pagination 🔹 Get Top N & Nth-range results 🔹 Combine with ORDER BY 💡 Challenge: 3rd → 7th highest satisfaction scores 🏥 #SQLWithIDC #SQL #DataAnalytics #LearningJourney

Day 3 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero 🧩 Topic: ORDER BY, ASC/DESC, multi-column sorting 💻 Challenge: Top 5 weeks with highest patient refusals SELECT week, service, patients_refused FROM services_weekly ORDER BY patients_refused DESC LIMIT 5; #SQL

🗓️ Day 3 of #21DaysSQLChallenge by @indiandataclub! Today’s focus: ORDER BY 🎯 It helps you sort query results — alphabetically, numerically, or by date. Use ASC (default) or DESC for descending order. #SQLWithIDC #SQL

Day 3 | #21DaysSQLChallenge with @Indiandataclub & @DPDzero Learned to sort data using ORDER BY 🔹 ASC / DESC sorting 🔹 Multi-column ordering 🔹 Top N results with LIMIT 💡 Challenge: Top 5 weeks with highest patient refusals #SQLWithIDC #SQL #DataAnalytics

Day 3 – IDC 21 Days of SQL w/ #DPDzero Today's task: find top 5 weeks with highest patient refusals 👇 Spotting refusal trends = key for healthcare ops & patient experience 💡 On to Day 4 🚀 #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day3

Day 3 of my 21 Days SQL Challenge 🔥 Sorting Data with ORDER BY Topics: ORDER BY, ASC/DESC, multiple column sorting Challenge by @indiandataclub & @dpdzero #21DaysSQLChallenge #sqldeveloper #LearnSQL #DataAnalytics #SQLwithIDC

Day 2 of #21DaysSQLChallenge Focused on filtering data using the WHERE clause. comparison operators, AND/OR, IN, BETWEEN, and NULL values. SELECT id, name, age, score FROM patients WHERE service = 'Surgery' AND satisfaction_score<70 #dpdzero #indiandataclub #SQLWithIDC

Day 2 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero Topic: Filtering Data with WHERE Clause 🔍 💡 Learned: Filtering with WHERE, using AND/OR/IN, handling NULLs, & inclusive BETWEEN. Challenge: Find surgery patients with satisfaction < 70. #SQLWithIDC

🗓️Day 5 of #21DaysSQLChallenge by @indiandataclub! Today's topic: Aggregate Functions 📊 Instead of scanning thousands of rows, you can just ask SQL to give you the big picture using functions like: 🔹 COUNT() 🔹 SUM() 🔹 AVG() 🔹 MIN() 🔹 MAX() #SQLWithIDC #SQL

Day 2 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero Topic: Filtering Data with WHERE Clause 🔍 💡 Learned: Filtering with WHERE, using AND/OR/IN, handling NULLs, & inclusive BETWEEN. Challenge: Find surgery patients with satisfaction < 70. #SQLWithIDC

Day 4 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero 🧩 Topic: LIMIT and OFFSET 💻 Challenge: Fetch 3rd–7th highest patient satisfaction scores 👇 SELECT patient_id, name, service, satisfaction FROM patients ORDER BY satisfaction DESC LIMIT 5 OFFSET 2; #SQLWithIDC

Day 1 of my 21 Days SQL Challenge 🔥 Started with the basics — listing all unique hospital services. Simple, but a strong start! Challenge by @IndianDataClub & @DPDzero #21DaysSQLChallenge #SQL #LearnSQL #DataAnalytics #IDCWithSQL #SQLwithIDC

Day 5 of my 21 Days SQL Challenge ⚡ Aggregate Functions (COUNT, SUM, AVG, MIN, MAX) Topics: COUNT, SUM, AVG, MIN, MAX functions Challenge by @indiandataclub & @dpdzero #21DaysSQLChallenge #sqldevelopers #LearnSQL #DataAnalytics #SQLwithIDC #DataScience #sqlknowledge

After wrapping up my #30DaysOfPython challenge, I’m diving into the #21DaysSQLChallenge by @indiandataclub 🧠 Time to switch from code to queries and keep the learning streak going. #SQL #Python #DataAnalytics #LearningJourney @dpdzero #SQLwithIDC

Day 4 of my 21 Days SQL Challenge ⚡ LIMIT and OFFSET Topics: LIMIT, OFFSET, pagination concepts Challenge by @indiandataclub & @dpdzero #21DaysSQLChallenge #sqldeveloper #LearnSQL #DataAnalytics #SQLwithIDC

Day 5 | #21DaysSQLChallenge with @indiandataclub & @dpdzero 💪 Learned to summarize data using: 🔹 COUNT() SUM() AVG() MIN() MAX() 🔹 Rounded averages with ROUND() 💡 Challenge: Calculate total admits, refusals & avg satisfaction 🏥 #SQLWithIDC #SQL #DataAnalytics

Day 1 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero 🎯 Topic: Intro to SQL & SELECT 💡 Used SELECT DISTINCT to list unique hospital services. Output ➡️ general_medicine | surgery | ICU | emergency 1 down, 20 to go! 🔥 #SQLWithIDC #SQL #DataAnalytics

Day 3 of my 21 Days SQL Challenge 🔥 Sorting Data with ORDER BY Topics: ORDER BY, ASC/DESC, multiple column sorting Challenge by @indiandataclub & @dpdzero #21DaysSQLChallenge #sqldeveloper #LearnSQL #DataAnalytics #SQLwithIDC

Day 5 of #21DaysSQLChallenge 🚀 Today’s focus: Aggregate Functions, the secret to turning rows into insights! Key takeaways: • COUNT(*) vs COUNT(column) • AVG(), SUM(), MIN(), MAX() = instant stats • Use DISTINCT for unique counts #SQLWithIDC

🗓️ Day 3 of #21DaysSQLChallenge by @indiandataclub! Today’s focus: ORDER BY 🎯 It helps you sort query results — alphabetically, numerically, or by date. Use ASC (default) or DESC for descending order. #SQLWithIDC #SQL

Day 2 of my 21 Days SQL Challenge ⚡ Topic: Filtering Data with WHERE Clause Learning how the WHERE clause and comparison operators help filter data efficiently! Challenge by @indiandataclub & @dpdzero #21DaysSQLChallenge #SQL #LearnSQL #DataAnalytics #SQLwithIDC

Day 2 of #21DaysSQLChallenge Focused on filtering data using the WHERE clause. comparison operators, AND/OR, IN, BETWEEN, and NULL values. SELECT id, name, age, score FROM patients WHERE service = 'Surgery' AND satisfaction_score<70 #dpdzero #indiandataclub #SQLWithIDC

Day 1 | #21DaysSQLChallenge with @indiandataclub & @dpdzero Kicked off my SQL journey today! Learned to: Use SELECT statements Retrieve & filter data List unique hospital services Excited for what’s next! 🚀 #SQL #DataAnalytics #SQLWithIDC #LearningJourney

Day 2/21 of my SQL challenge Learned how the WHERE clause filters data like a pro just show me what I need, not everything! #SQL #21DaysSQLChallenge #DataAnalytics

Day 4 – IDC 21 Days of SQL w/ #DPDzero Task: Get the 3rd to 7th highest patient satisfaction scores 👇 Learning rank logic = better control over real-world data slices 🔍 On to Day 5 🚀 #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day4

Day 5 of #21DaysSQLChallenge by @indiandataclub & @dpdzero Topic: Aggregate Functions (COUNT, SUM, AVG, MIN, MAX) Learned how to summarize data using aggregate functions. Used SUM() for totals and AVG() for averages, and rounded results for readability. #21DaysSQLChallenge

Day 1 of the #21DaysSQLChallenge completed. Learned how to use SELECT and DISTINCT to retrieve specific and unique records along with Top, Limit clause. Query used: SELECT DISTINCT service FROM services_weekly; #DPDzero #indiandataclub #SQLWithIDC #DataAnalytics

Day 3 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero 🧩 Topic: ORDER BY, ASC/DESC, multi-column sorting 💻 Challenge: Top 5 weeks with highest patient refusals SELECT week, service, patients_refused FROM services_weekly ORDER BY patients_refused DESC LIMIT 5; #SQL