#sqlwithidc risultati di ricerca

Nessun risultato per "#sqlwithidc"

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

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


🌟 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!

🕵️‍♀️ 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

‍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


CapStone:I uncovered the killer behind TechNova Inc.’s CEO murder. 🔍 Killer Identified: David Kumar 📊 Skills Used: JOINs, time filtering, CTEs, pattern tracing SQL isn’t just queries — it’s detective work. Linkedin:linkedin.com/feed/update/ur… #SQLWithIDC @indiandataclub @dpdzero


✅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.

🗓️ 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

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

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

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

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

✅ 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

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

🗓️ 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

Nessun risultato per "#sqlwithidc"

Day 12 #SQLWithIDC In SQL, NULL is not a value it’s the silence between the notes. It’s the unknown, the missing, the unrecorded. IS NULL, IS NOT NULL, COALESCE() these are not just keywords, they’re the tools to give meaning to absence. @indiandataclub @dpdzero

lakkilohitha's tweet image. Day 12 #SQLWithIDC 
In SQL, NULL is not a value it’s the silence between the notes.
It’s the unknown, the missing, the unrecorded.
IS NULL, IS NOT NULL, COALESCE() these are not just keywords,
they’re the tools to give meaning to absence.
@indiandataclub @dpdzero
lakkilohitha's tweet image. Day 12 #SQLWithIDC 
In SQL, NULL is not a value it’s the silence between the notes.
It’s the unknown, the missing, the unrecorded.
IS NULL, IS NOT NULL, COALESCE() these are not just keywords,
they’re the tools to give meaning to absence.
@indiandataclub @dpdzero
lakkilohitha's tweet image. Day 12 #SQLWithIDC 
In SQL, NULL is not a value it’s the silence between the notes.
It’s the unknown, the missing, the unrecorded.
IS NULL, IS NOT NULL, COALESCE() these are not just keywords,
they’re the tools to give meaning to absence.
@indiandataclub @dpdzero

Day 14 #SQLWithIDC INNER JOIN seeks alignment LEFT JOIN preserves perspective RIGHT JOIN changes it A NULL in a LEFT JOIN isn’t absence — it’s a story untold, a connection yet to be made Data reminds us: inclusion reveals as much as matching ever will @indiandataclub @dpdzero

lakkilohitha's tweet image. Day 14 #SQLWithIDC 
INNER JOIN seeks alignment
LEFT JOIN preserves perspective
RIGHT JOIN changes it
A NULL in a LEFT JOIN isn’t absence — it’s a story untold, a connection yet to be made
Data reminds us: inclusion reveals as much as matching ever will
@indiandataclub @dpdzero
lakkilohitha's tweet image. Day 14 #SQLWithIDC 
INNER JOIN seeks alignment
LEFT JOIN preserves perspective
RIGHT JOIN changes it
A NULL in a LEFT JOIN isn’t absence — it’s a story untold, a connection yet to be made
Data reminds us: inclusion reveals as much as matching ever will
@indiandataclub @dpdzero
lakkilohitha's tweet image. Day 14 #SQLWithIDC 
INNER JOIN seeks alignment
LEFT JOIN preserves perspective
RIGHT JOIN changes it
A NULL in a LEFT JOIN isn’t absence — it’s a story untold, a connection yet to be made
Data reminds us: inclusion reveals as much as matching ever will
@indiandataclub @dpdzero

Day 10 of #SQLWithIDC 🚀— CASE statements 💡 Key takeaways: • Use CASE to categorize or create conditional metrics • Always include ELSE (avoid NULLs) • Works in SELECT, ORDER BY, and GROUP BY • First match wins — order matters!

abhilashadhole5's tweet image. Day 10 of #SQLWithIDC 🚀— CASE statements

💡 Key takeaways:
• Use CASE to categorize or create conditional metrics
• Always include ELSE (avoid NULLs)
• Works in SELECT, ORDER BY, and GROUP BY
• First match wins — order matters!
abhilashadhole5's tweet image. Day 10 of #SQLWithIDC 🚀— CASE statements

💡 Key takeaways:
• Use CASE to categorize or create conditional metrics
• Always include ELSE (avoid NULLs)
• Works in SELECT, ORDER BY, and GROUP BY
• First match wins — order matters!

Day 13 #SQLWithIDC In SQL and life, INNER JOIN reminds us: True insight emerges where paths intersect. It’s not about gathering all data— But about finding meaningful matches that matter. Real connection, real value. @indiandataclub @dpdzero

lakkilohitha's tweet image. Day 13 #SQLWithIDC 
In SQL and life, INNER JOIN reminds us:
True insight emerges where paths intersect.
It’s not about gathering all data—
But about finding meaningful matches that matter.
Real connection, real value.
@indiandataclub @dpdzero
lakkilohitha's tweet image. Day 13 #SQLWithIDC 
In SQL and life, INNER JOIN reminds us:
True insight emerges where paths intersect.
It’s not about gathering all data—
But about finding meaningful matches that matter.
Real connection, real value.
@indiandataclub @dpdzero
lakkilohitha's tweet image. Day 13 #SQLWithIDC 
In SQL and life, INNER JOIN reminds us:
True insight emerges where paths intersect.
It’s not about gathering all data—
But about finding meaningful matches that matter.
Real connection, real value.
@indiandataclub @dpdzero

𝗗𝗮𝘆 12 #21DaysSQLChallenge 🚀 Handling NULLs & comparing categories ✅ IS NULL / IS NOT NULL ✅ COALESCE for fallback ✅ COUNT(*) vs COUNT(column) ✅ CTE + CASE for clean summaries ⚠️ Don’t treat NULL as a value Stepwise queries = clear & scalable SQL! 🙌 #SQLWithIDC

abhilashadhole5's tweet image. 𝗗𝗮𝘆 12 #21DaysSQLChallenge 🚀
Handling NULLs & comparing categories
✅ IS NULL / IS NOT NULL
✅ COALESCE for fallback
✅ COUNT(*) vs COUNT(column)
✅ CTE + CASE for clean summaries
⚠️ Don’t treat NULL as a value

Stepwise queries = clear & scalable SQL! 🙌
#SQLWithIDC
abhilashadhole5's tweet image. 𝗗𝗮𝘆 12 #21DaysSQLChallenge 🚀
Handling NULLs & comparing categories
✅ IS NULL / IS NOT NULL
✅ COALESCE for fallback
✅ COUNT(*) vs COUNT(column)
✅ CTE + CASE for clean summaries
⚠️ Don’t treat NULL as a value

Stepwise queries = clear & scalable SQL! 🙌
#SQLWithIDC

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

Day 12 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero Dived into NULL handling. Today’s challenge: compare weeks “With Event” vs “No Event” and analyze satisfaction + morale. Key learning: NULLs change everything—handle them smartly! #SQLWithIDC

vini_pa99796's tweet image. Day 12 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero 

Dived into NULL handling.

Today’s challenge: compare weeks “With Event” vs “No Event” and analyze satisfaction + morale.

Key learning: NULLs change everything—handle them smartly!

#SQLWithIDC
vini_pa99796's tweet image. Day 12 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero 

Dived into NULL handling.

Today’s challenge: compare weeks “With Event” vs “No Event” and analyze satisfaction + morale.

Key learning: NULLs change everything—handle them smartly!

#SQLWithIDC

𝗗𝗮𝘆 𝟭𝟴 #SQLWithIDC🚀 Today I explored UNION & UNION ALL — combining multiple queries into one dataset! ✨ 💡Quick Tips: • UNION = no duplicates✅ • UNION ALL = keeps all✅ • Match columns & types • Order only after final result Combine smartly, analyze faster! 🙌

abhilashadhole5's tweet image. 𝗗𝗮𝘆 𝟭𝟴 #SQLWithIDC🚀 Today I explored UNION & UNION ALL — combining multiple queries into one dataset! ✨

💡Quick Tips:
• UNION = no duplicates✅
• UNION ALL = keeps all✅
• Match columns & types
• Order only after final result

Combine smartly, analyze faster! 🙌
abhilashadhole5's tweet image. 𝗗𝗮𝘆 𝟭𝟴 #SQLWithIDC🚀 Today I explored UNION & UNION ALL — combining multiple queries into one dataset! ✨

💡Quick Tips:
• UNION = no duplicates✅
• UNION ALL = keeps all✅
• Match columns & types
• Order only after final result

Combine smartly, analyze faster! 🙌

Day 10 | #21DaysSQLChallenge with @indiandataclub & @dpdzero Learned conditional logic with CASE WHEN: 🔹 Categorised satisfaction levels 🔹 Grouped staff roles 💡 Challenge: Classify services as Excellent, Good, Fair, or Needs Improvement #SQLWithIDC #SQL #DataAnalytics

TheArranger's tweet image. Day 10 | #21DaysSQLChallenge
with @indiandataclub  & @dpdzero 
Learned conditional logic with CASE WHEN:
🔹 Categorised satisfaction levels
🔹 Grouped staff roles
💡 Challenge: Classify services as Excellent, Good, Fair, or Needs Improvement
#SQLWithIDC #SQL #DataAnalytics
TheArranger's tweet image. Day 10 | #21DaysSQLChallenge
with @indiandataclub  & @dpdzero 
Learned conditional logic with CASE WHEN:
🔹 Categorised satisfaction levels
🔹 Grouped staff roles
💡 Challenge: Classify services as Excellent, Good, Fair, or Needs Improvement
#SQLWithIDC #SQL #DataAnalytics

Day 18 #SQLWithIDC 🔶UNION removes duplicates, slower but unique results. 🔷UNION ALL keeps all rows, faster performance. 🔶Same columns + compatible types. Use ORDER BY last. Pro tip: Use UNION ALL when duplicates aren't an issue! @indiandataclub @dpdzero

lakkilohitha's tweet image. Day 18 #SQLWithIDC 
🔶UNION removes duplicates, slower but unique results.
🔷UNION ALL keeps all rows, faster performance.
🔶Same columns + compatible types. Use ORDER BY last.
Pro tip: Use UNION ALL when duplicates aren't an issue!
@indiandataclub @dpdzero
lakkilohitha's tweet image. Day 18 #SQLWithIDC 
🔶UNION removes duplicates, slower but unique results.
🔷UNION ALL keeps all rows, faster performance.
🔶Same columns + compatible types. Use ORDER BY last.
Pro tip: Use UNION ALL when duplicates aren't an issue!
@indiandataclub @dpdzero
lakkilohitha's tweet image. Day 18 #SQLWithIDC 
🔶UNION removes duplicates, slower but unique results.
🔷UNION ALL keeps all rows, faster performance.
🔶Same columns + compatible types. Use ORDER BY last.
Pro tip: Use UNION ALL when duplicates aren't an issue!
@indiandataclub @dpdzero

🚀 Day 1 of the IDC 21 Days SQL Challenge! Started my journey with basics: SELECT, filtering, exploring tables & finding unique values with DISTINCT. Day 1 challenge: List all unique hospital services. Big thanks to IDC & @dpdzero for the supportive community!🙌 #SQLWithIDC

abhilashadhole5's tweet image. 🚀 Day 1 of the IDC 21 Days SQL Challenge!

Started my journey with basics: SELECT, filtering, exploring tables & finding unique values with DISTINCT.

Day 1 challenge: List all unique hospital services.

Big thanks to IDC & @dpdzero for the supportive community!🙌

 #SQLWithIDC
abhilashadhole5's tweet image. 🚀 Day 1 of the IDC 21 Days SQL Challenge!

Started my journey with basics: SELECT, filtering, exploring tables & finding unique values with DISTINCT.

Day 1 challenge: List all unique hospital services.

Big thanks to IDC & @dpdzero for the supportive community!🙌

 #SQLWithIDC

Day 11 #SQLWithIDC 🔶DISTINCT removes duplicates, showing unique rows based on all selected columns. 🔷Use it to clean data and get true unique values. 🔶Remember, for aggregates use GROUP BY, and handle duplicates early for better performance. @indiandataclub @dpdzero

lakkilohitha's tweet image. Day 11 #SQLWithIDC 
🔶DISTINCT removes duplicates, showing unique rows based on all selected columns. 
🔷Use it to clean data and get true unique values. 🔶Remember, for aggregates use GROUP BY, and handle duplicates early for better performance.
@indiandataclub @dpdzero
lakkilohitha's tweet image. Day 11 #SQLWithIDC 
🔶DISTINCT removes duplicates, showing unique rows based on all selected columns. 
🔷Use it to clean data and get true unique values. 🔶Remember, for aggregates use GROUP BY, and handle duplicates early for better performance.
@indiandataclub @dpdzero
lakkilohitha's tweet image. Day 11 #SQLWithIDC 
🔶DISTINCT removes duplicates, showing unique rows based on all selected columns. 
🔷Use it to clean data and get true unique values. 🔶Remember, for aggregates use GROUP BY, and handle duplicates early for better performance.
@indiandataclub @dpdzero

Day 12 of #21DaysSQLChallenge by @IndianDataClub & @dpdzero 🔹 Topic: NULL Handling Learned how to work with missing data using IS NULL, IS NOT NULL, and COALESCE() to replace NULLs and ensure accurate filtering and calculations. #SQLWithIDC #LearnSQL #IDCChallenge

KaleRoshani1's tweet image. Day 12 of #21DaysSQLChallenge by @IndianDataClub & @dpdzero 

🔹 Topic: NULL Handling
Learned how to work with missing data using IS NULL, IS NOT NULL, and COALESCE() to replace NULLs and ensure accurate filtering and calculations.

#SQLWithIDC #LearnSQL #IDCChallenge
KaleRoshani1's tweet image. Day 12 of #21DaysSQLChallenge by @IndianDataClub & @dpdzero 

🔹 Topic: NULL Handling
Learned how to work with missing data using IS NULL, IS NOT NULL, and COALESCE() to replace NULLs and ensure accurate filtering and calculations.

#SQLWithIDC #LearnSQL #IDCChallenge
KaleRoshani1's tweet image. Day 12 of #21DaysSQLChallenge by @IndianDataClub & @dpdzero 

🔹 Topic: NULL Handling
Learned how to work with missing data using IS NULL, IS NOT NULL, and COALESCE() to replace NULLs and ensure accurate filtering and calculations.

#SQLWithIDC #LearnSQL #IDCChallenge

day 16/21days sql challenge Back to the SQL grind #SQLwithIDC with @indiandataclub and @dpdzero

saikiranudayana's tweet image. day 16/21days sql challenge
Back to the SQL grind #SQLwithIDC
with @indiandataclub and @dpdzero

day -18/21 Days SQl challenge #SQLwithIDC Getting back to the Grind of SQL with @indiandataclub and @dpdzero

saikiranudayana's tweet image. day -18/21 Days SQl challenge
#SQLwithIDC
Getting back to the Grind of SQL
with @indiandataclub and @dpdzero
saikiranudayana's tweet image. day -18/21 Days SQl challenge
#SQLwithIDC
Getting back to the Grind of SQL
with @indiandataclub and @dpdzero

Day 10 of the #21DaysSQLChallenge with @indiandataclub! Today’s topic: CASE statements — SQL’s if-else logic.💻 ✅Perfect for adding decisions inside your queries ✅Super handy for creating categories, custom sorting, and conditional summaries!✨ #SQLWithIDC #SQL #Data

shreya_kataru's tweet image. Day 10 of the #21DaysSQLChallenge with @indiandataclub!

Today’s topic: CASE statements — SQL’s if-else logic.💻

✅Perfect for adding decisions inside your queries

✅Super handy for creating categories, custom sorting, and conditional summaries!✨

#SQLWithIDC #SQL #Data
shreya_kataru's tweet image. Day 10 of the #21DaysSQLChallenge with @indiandataclub!

Today’s topic: CASE statements — SQL’s if-else logic.💻

✅Perfect for adding decisions inside your queries

✅Super handy for creating categories, custom sorting, and conditional summaries!✨

#SQLWithIDC #SQL #Data

Completed 7 days of the 21 Days SQL Challenge. Staying consistent has helped me strengthen my foundation and approach problems with clarity. Looking forward to learning more and progressing further in the upcoming days. Tagging @dpdzero and @indiandataclub #SQLWithIDC

saikiranudayana's tweet image. Completed 7 days of the 21 Days SQL Challenge.
Staying consistent has helped me strengthen my foundation and approach problems with clarity.
Looking forward to learning more and progressing further in the upcoming days.
Tagging @dpdzero  and @indiandataclub 
#SQLWithIDC

Day 10 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero Topic: CASE WHEN & Conditional Logic Today I learned to make SQL smarter — adding if-else logic inside queries 💡 Categorized satisfaction, grouped patients, & built performance reports with CASE! #SQLWithIDC

vini_pa99796's tweet image. Day 10 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero 

Topic: CASE WHEN & Conditional Logic

Today I learned to make SQL smarter — adding if-else logic inside queries 💡 

Categorized satisfaction, grouped patients, & built performance reports with CASE!

#SQLWithIDC
vini_pa99796's tweet image. Day 10 ✅ of #21DaysSQLChallenge by @IndianDataClub x @DPDzero 

Topic: CASE WHEN & Conditional Logic

Today I learned to make SQL smarter — adding if-else logic inside queries 💡 

Categorized satisfaction, grouped patients, & built performance reports with CASE!

#SQLWithIDC

Here’s the Day 6 challenge for 21 Days of SQL. Let’s do it together! @dpdzero #SQLWithIDC

indiandataclub's tweet image. Here’s the Day 6 challenge for 21 Days of SQL.

Let’s do it together!
 @dpdzero #SQLWithIDC

Loading...

Something went wrong.


Something went wrong.


United States Trends