#21dayssqlchallenge search results
The perfect end to the 21-day journey. SQL isn’t just about queries — it’s problem-solving, storytelling & logic. Proud to have completed this challenge! 🚀 @indiandataclub @dpdzero #SQLWithIDC #SQLMystery #21DaysSQLChallenge #DataAnalytics
🕵️♂️ Capstone Completed! | SQL Murder Mystery- “Who Killed the CEO?” Wrapped up the 21-Day SQL Challenge by @indiandataclub with a final investigation project where I solved a murder case using SQL, not fingerprints. @dpdzero #21DaysSQLChallenge #SQLWithIDC
🕵️♀️ SQL Murder Mystery — Solved! ➡️All clues point to David Kumar - the only one in the CEO office during the crime, a false alibi, a suspicious call at 8:55 PM, and matching fingerprints. Sponsored by @DPDzero | Organized by @IndianDataClub #SQLWithIDC #21DaysSQLChallenge
Capstone project done!🕵️♀️ Final task of the #21DaysSQLChallenge: solve a CEO murder case using only SQL. From keycard logs to alibis to suspicious calls, every clue came from a query. Huge thanks to @IndianDataClub & @DPDzero for an amazing journey. #SQLWithIDC #SQL
💡 Final Output: Case Solved: Killer is David Kumar If you enjoyed this SQL detective story, drop a like ♥️ Happy querying! #SQL #DataAnalytics #21DaysSQLChallenge
💼 SQL Murder Mystery — Case Solved! After 21 days of hands-on practice with the #21DaysSQLChallenge by @IndianDataClub (powered by @DPDzero)… I wrapped up my capstone project with a twist 👀 ➡️ A full-blown SQL Murder Investigation. Let me show how SQL solved a crime ⬇️
🗓️ Day 21 of #21DaysSQLChallenge by @indiandataclub! Today's topic: CTEs🎯 Using the WITH clause, you can create a temporary named result set & build your query step by step! Key takeaways💡 • Break complex queries into simple steps • Reuse logic • Easy to debug #SQLWithIDC
Day 21 — #21DaysSQLChallenge (Final Day!) 🚀 Wrapped up the challenge by building a full performance dashboard 1️⃣ Patient metrics 2️⃣ Service metrics 3️⃣ Staff metrics 21 days done — SQL muscles upgraded 💪 @dpdzero @indiandataclub #SQLWithIDC #SQL #DataAnalytics #Day21
Day 21 of my 21 Days SQL Challenge Completed the full 21 Days SQL Challenge and wrapped up the journey. Topics: WITH clause, CTEs, recursive CTEs, query organization Challenge by @indiandataclub & @dpdzero #21DaysSQLChallenge #SQLDeveloper #LearnSQL #DataAnalytics #SQLwithIDC
🗓️ Day 20 of #21DaysSQLChallenge by @indiandataclub! Topic: Aggregate Window Functions! Key idea: calculate totals without losing rows Frame controls: UNBOUNDED PRECEDING = from start N PRECEDING = last N rows CURRENT ROW = this row N FOLLOWING = next N rows #SQLWithIDC #SQL
Day 20 of my 21 Days SQL Challenge ⚡ Window Functions – Aggregate Window Functions Topics: SUM() OVER, AVG() OVER, running totals, moving averages Challenge by @indiandataclub & @dpdzero #21DaysSQLChallenge #SQLDeveloper #LearnSQL #DataAnalytics #SQLwithIDC
Day 19 — #21DaysSQLChallenge 🏥📊 Today’s task: Identify the Top 3 highest patient satisfaction weeks for each service. Ranking the best to make every week better 🔥 @dpdzero @indiandataclub #SQLWithIDC #SQL #HealthcareAnalytics #DataAnalytics #DPDzero #IndianDataClub #Day19
🗓️ Day 19 of #21DaysSQLChallenge by @indiandataclub! Today's topic was WINDOW FUNCTIONS!🖥️ These functions - - ROW_NUMBER() - RANK() - DENSE_RANK() ... let you analyze a row while still seeing the rest of the data. Unlike GROUP BY, nothing gets collapsed.🙌 #SQLWithIDC #SQL
Day 19 of my 21 Days SQL Challenge ⚡ Exploring row level ranking for deeper analytical insights Topics: ROW_NUMBER(), RANK(), DENSE_RANK(), OVER clause Challenge by @indiandataclub & @dpdzero #21DaysSQLChallenge #SQLDeveloper #LearnSQL #DataAnalytics #SQLwithIDC
🗓️ Day 18 of #21DaysSQLChallenge by @indiandataclub! Today was all about UNION and UNION ALL! - UNION: Removes duplicate rows (slower) - UNION ALL: Keeps all rows including duplicates (faster) #SQLWithIDC #SQL
Day 18 of my 21 Days SQL Challenge ⚡ Learning how to merge results from multiple queries into one dataset. Topics: UNION, UNION ALL, combining result sets Challenge by @indiandataclub & @dpdzero #21DaysSQLChallenge #SQLDeveloper #LearnSQL #DataAnalytics #SQLwithIDC
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