Top Tweets for #SQLWithIDC
Sharing my 21 Days SQL Challenge Certificate! 🙌
Thanks @IndianDataClub & @dpdzero for the learning journey.
#SQLWithIDC #SQL #Analytics
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 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 19/21 days sql challenge
#SQLwithIDC
with @indiandataclub and @dpdzero
SELECT SERVICE,
SUM(PATIENTS_ADMITTED) AS TOTAL_PATIENTS_ADMITTED,
RANK() OVER (ORDER BY SUM(PATIENTS_ADMITTED) DESC) AS ADMISSION_RANK
FROM SERVICES_WEEKLY
GROUP BY SERVICE;
Day 18 — #21DaysSQL Challenge with #SQLWithIDC
Today’s task:
🔗 Combine patients + staff from critical departments
(Surgery & Emergency)
@dpdzero @indiandataclub
unified healthcare insights
On to Day 19! 🚀
#SQL #DataAnalytics #IndianDataClub #DPDzero #AnalyticsJourney
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
day -18/21 Days SQl challenge
#SQLwithIDC
Getting back to the Grind of SQL
with @indiandataclub and @dpdzero
Day 17 — #21DaysSQLChallenge (IDC)
Task: Compare each hospital service’s admissions against the overall average.
🔍 What we reported:
🧠 identify services & areas needing support.
@dpdzero @indiandataclub
On to Day 18 🚀
#SQLWithIDC #DataAnalytics #DPDzero #IndianDataClub
🚑 Day 15 — SQL Healthcare Analytics
Today’s task: Build a service-level performance report for Week 20 combining:
Bringing admissions, satisfaction & staffing into a single view = real insights.
@dpdzero @indiandataclub
#21DaysSQLChallenge #SQLWithIDC #DataAnalytics #Day15
Day 14 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero
Explored LEFT & RIGHT JOIN to handle unmatched records. Built a staff utilization report showing all staff + their weeks present.
Takeaway: JOINs + COALESCE = clean, complete insights.
#SQLWithIDC #SQL
𝗗𝗮𝘆 14 of #21DaysSQLChallenge 🚀
Today’s focus: LEFT & RIGHT JOIN — include unmatched records for a complete view.
💡 Key Takeaways:
✅ LEFT JOIN → all left rows + matches
✅ RIGHT JOIN → all right rows + matches
✅ Use COALESCE to handle NULLs
#SQLWithIDC
Day 14 of my 21 Days SQL Challenge ⚡
Topics: LEFT JOIN, RIGHT JOIN, including unmatched records
Challenge by
@indiandataclub & @dpdzero
#21DaysSQLChallenge #SQLDeveloper #LearnSQL #DataAnalytics #SQLwithIDC
Day 13 of my 21 Days SQL Challenge ⚡
Topics: INNER JOIN, joining two tables, relationship understanding
Challenge by
@indiandataclub
&
@dpdzero
#21DaysSQLChallenge #SQLDeveloper #LearnSQL #DataAnalytics #SQLwithIDC
𝗗𝗮𝘆 13 of #21DaysSQLChallenge 🚀
INNER JOIN — connect tables, get only matching rows.
💡 Tips:
✅ Use aliases & qualify columns
✅ Chain joins for insights
✅ Filter with WHERE after join
#SQLWithIDC
Day 11 of #21DaysSQLChallenge with @indiandataclub!
Today's topic: DISTINCT keyword — the simplest way to handle duplicates✨
✅ COUNT(DISTINCT col) for unique counts
✅ GROUP BY for aggregates, DISTINCT for quick de-duplication
✅ NULL values count as one
#SQLWithIDC #SQL
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