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#sqlwithidc 搜尋結果

未找到 "#sqlwithidc" 的結果
vinitsolanki111's profile picture. 📖 Aspiring knowledge seeker | 📈Passionate about growth | Sharing insights, thoughts, and a bit of wanderlust.
Vinit Solanki
 @vinitsolanki111
年11月30日

I did it! 21 Days of SQL. 21 Days of learning. 21 Days of consistency. Thanks @DPDzero and @IndianDataClub for making the journey so engaging. #SQLWithIDC #SQL #TechCommunity

vinitsolanki111's tweet image. I did it! 21 Days of SQL. 21 Days of learning. 21 Days of consistency. Thanks @DPDzero and @IndianDataClub for making the journey so engaging. #SQLWithIDC #SQL #TechCommunity
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Vikash040999's profile picture.
Vikash
 @Vikash040999
年11月29日

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

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Vikash040999's profile picture.
Vikash
 @Vikash040999
年11月29日

🕵️‍♂️ 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

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abhilashadhole5's profile picture.
Abhilasha
 @abhilashadhole5
年11月29日

🌟 21 Days. 21 Chances to Grow. I just earned my 21-Day SQL Challenge Badge with #SQLWithIDC! 🚀 It’s not just a badge — it’s proof of showing up every day, learning, practicing, and building consistency. 💫 💭 Lesson: Progress > Perfection. Keep going, every day counts!

abhilashadhole5's tweet image. 🌟 21 Days. 21 Chances to Grow. I just earned my 21-Day SQL Challenge Badge with #SQLWithIDC! 🚀 It’s not just a badge — it’s proof of showing up every day, learning, practicing, and building consistency. 💫 💭 Lesson: Progress > Perfection. Keep going, every day counts!
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SakhiChatterjee's profile picture.
Sakhi Chatterjee
 @SakhiChatterjee
年11月29日

🕵️‍♀️ 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

SakhiChatterjee's tweet image. 🕵️‍♀️ 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
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shreya_kataru's profile picture. Data Analyst | Turning Data into Insights
Kataru Shreya
 @shreya_kataru
年11月29日

‍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

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SakhiChatterjee's profile picture.
Sakhi Chatterjee
 @SakhiChatterjee
年11月27日

✅Day 21 of #SQLWithIDC Challenge Complted! sponsored by @dpdzero & organized by @indiandataclub. 💡Today’s concept: CTEs — the best way to simplify complex SQL into clean, readable steps. 🎯 Challenge: Build a hospital performance dashboard using 3 CTEs + final performance.

SakhiChatterjee's tweet image. ✅Day 21 of #SQLWithIDC Challenge Complted! sponsored by @dpdzero & organized by @indiandataclub. 💡Today’s concept: CTEs — the best way to simplify complex SQL into clean, readable steps. 🎯 Challenge: Build a hospital performance dashboard using 3 CTEs + final performance.
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shreya_kataru's profile picture. Data Analyst | Turning Data into Insights
Kataru Shreya
 @shreya_kataru
年11月27日

🗓️ 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

shreya_kataru's tweet image. 🗓️ 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
shreya_kataru's tweet image. 🗓️ 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
shreya_kataru's tweet image. 🗓️ 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
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Vikash040999's profile picture.
Vikash
 @Vikash040999
年11月27日

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

Vikash040999's tweet image. 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
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adarshankur19's profile picture. Data Analyst | Advance Excel | Power BI | SQL | Python | Turning Complex Data into Clear Business Decisions
Adarsh Ankur
 @adarshankur19
年11月27日

Day 21. Final day of the 21 Days of SQL Challenge. I built a dashboard with CTEs combining service metrics, staff metrics, and patient demographics, then computed a weighted performance score. @indiandataclub @dpdzero #SQL #SQLWithIDC

adarshankur19's tweet image. Day 21. Final day of the 21 Days of SQL Challenge. I built a dashboard with CTEs combining service metrics, staff metrics, and patient demographics, then computed a weighted performance score. @indiandataclub @dpdzero #SQL #SQLWithIDC
adarshankur19's tweet image. Day 21. Final day of the 21 Days of SQL Challenge. I built a dashboard with CTEs combining service metrics, staff metrics, and patient demographics, then computed a weighted performance score. @indiandataclub @dpdzero #SQL #SQLWithIDC
adarshankur19's tweet image. Day 21. Final day of the 21 Days of SQL Challenge. I built a dashboard with CTEs combining service metrics, staff metrics, and patient demographics, then computed a weighted performance score. @indiandataclub @dpdzero #SQL #SQLWithIDC
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lakkilohitha's profile picture. Data Analyst
Lohitha
 @lakkilohitha
年11月27日

Day 21 #SQLWithIDC CTEs transform tangled logic into elegant, reusable steps, turning complexity into insight. From simple stats to multi-step analysis, CTEs are a game-changer for query organization. @indiandataclub @dpdzero

lakkilohitha's tweet image. Day 21 #SQLWithIDC CTEs transform tangled logic into elegant, reusable steps, turning complexity into insight. From simple stats to multi-step analysis, CTEs are a game-changer for query organization. @indiandataclub @dpdzero
lakkilohitha's tweet image. Day 21 #SQLWithIDC CTEs transform tangled logic into elegant, reusable steps, turning complexity into insight. From simple stats to multi-step analysis, CTEs are a game-changer for query organization. @indiandataclub @dpdzero
lakkilohitha's tweet image. Day 21 #SQLWithIDC CTEs transform tangled logic into elegant, reusable steps, turning complexity into insight. From simple stats to multi-step analysis, CTEs are a game-changer for query organization. @indiandataclub @dpdzero
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abhilashadhole5's profile picture.
Abhilasha
 @abhilashadhole5
年11月27日

𝐃𝐚𝐲 21/21 – 𝐒𝐐𝐋 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞🚀 🔸Learned CTEs today — clean, readable queries with step-by-step logic. 🔸Perfect for breaking down complex reports easily. 🔥 🔸CTEs > nested subqueries any day! ⚡ #SQLWithIDC #CTE #IndianDataClub #DPDzero

abhilashadhole5's tweet image. 𝐃𝐚𝐲 21/21 – 𝐒𝐐𝐋 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞🚀 🔸Learned CTEs today — clean, readable queries with step-by-step logic. 🔸Perfect for breaking down complex reports easily. 🔥 🔸CTEs > nested subqueries any day! ⚡ #SQLWithIDC #CTE #IndianDataClub #DPDzero
abhilashadhole5's tweet image. 𝐃𝐚𝐲 21/21 – 𝐒𝐐𝐋 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞🚀 🔸Learned CTEs today — clean, readable queries with step-by-step logic. 🔸Perfect for breaking down complex reports easily. 🔥 🔸CTEs > nested subqueries any day! ⚡ #SQLWithIDC #CTE #IndianDataClub #DPDzero
abhilashadhole5's tweet image. 𝐃𝐚𝐲 21/21 – 𝐒𝐐𝐋 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞🚀 🔸Learned CTEs today — clean, readable queries with step-by-step logic. 🔸Perfect for breaking down complex reports easily. 🔥 🔸CTEs > nested subqueries any day! ⚡ #SQLWithIDC #CTE #IndianDataClub #DPDzero
abhilashadhole5's tweet image. 𝐃𝐚𝐲 21/21 – 𝐒𝐐𝐋 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞🚀 🔸Learned CTEs today — clean, readable queries with step-by-step logic. 🔸Perfect for breaking down complex reports easily. 🔥 🔸CTEs > nested subqueries any day! ⚡ #SQLWithIDC #CTE #IndianDataClub #DPDzero
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SakhiChatterjee's profile picture.
Sakhi Chatterjee
 @SakhiChatterjee
年11月26日

✅ Completed Day 20 - Window Functions Sponsored by @dpdzero & Organized by @indiandataclub. - Worked with running totals, moving averages, and trend analysis using SUM() OVER & AVG() OVER. - Analyzed weeks 10–20 for admissions + satisfaction trends. 🔍 #SQLWithIDC

SakhiChatterjee's tweet image. ✅ Completed Day 20 - Window Functions Sponsored by @dpdzero & Organized by @indiandataclub. - Worked with running totals, moving averages, and trend analysis using SUM() OVER & AVG() OVER. - Analyzed weeks 10–20 for admissions + satisfaction trends. 🔍 #SQLWithIDC
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VennuSanjana's profile picture.
Vennu Sanjana
 @VennuSanjana
年11月26日

Today’s Learning : SQL window functions. SUM() OVER for running totals, AVG() OVER for moving averages, and ROWS BETWEEN to control the window. Helps analyze trends without losing rows. #sqlwithidc #sqllearning #indiandataclub

VennuSanjana's tweet image. Today’s Learning : SQL window functions. SUM() OVER for running totals, AVG() OVER for moving averages, and ROWS BETWEEN to control the window. Helps analyze trends without losing rows. #sqlwithidc #sqllearning #indiandataclub
VennuSanjana's tweet image. Today’s Learning : SQL window functions. SUM() OVER for running totals, AVG() OVER for moving averages, and ROWS BETWEEN to control the window. Helps analyze trends without losing rows. #sqlwithidc #sqllearning #indiandataclub
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shreya_kataru's profile picture. Data Analyst | Turning Data into Insights
Kataru Shreya
 @shreya_kataru
年11月26日

🗓️ 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

shreya_kataru's tweet image. 🗓️ 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
shreya_kataru's tweet image. 🗓️ 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
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未找到 "#sqlwithidc" 的結果
未找到 "#sqlwithidc" 的結果

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