#dpdzero search results

Day 4 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Get the 3rd to 7th highest patient satisfaction scores ๐Ÿ‘‡ Learning rank logic = better control over real-world data slices ๐Ÿ” On to Day 5 ๐Ÿš€ #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day4

Vikash040999's tweet image. Day 4 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Get the 3rd to 7th highest patient satisfaction scores ๐Ÿ‘‡

Learning rank logic = better control over real-world data slices ๐Ÿ”

On to Day 5 ๐Ÿš€
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day4

Day 8 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Show patient_id, full name in UPPERCASE, service in lowercase, age category , and name length โ€” only names >10 chars ๐Ÿ‘‡ On to Day 9 ๐Ÿš€ @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #Day8

Vikash040999's tweet image. Day 8 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Show patient_id, full name in UPPERCASE, service in lowercase, age category , and name length โ€” only names >10 chars ๐Ÿ‘‡

On to Day 9 ๐Ÿš€

@dpdzero  @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #Day8

Weโ€™re happy to announce ๐——๐—ฃ๐——๐˜‡๐—ฒ๐—ฟ๐—ผ as our ๐—ง๐—ถ๐˜๐—น๐—ฒ ๐—ฆ๐—ฝ๐—ผ๐—ป๐˜€๐—ผ๐—ฟ ๐—ณ๐—ผ๐—ฟ ๐˜๐—ต๐—ฒ ๐Ÿฎ๐Ÿญ ๐——๐—ฎ๐˜†๐˜€ ๐—ผ๐—ณ ๐—ฆ๐—ค๐—Ÿ ๐—–๐—ต๐—ฎ๐—น๐—น๐—ฒ๐—ป๐—ด๐—ฒ. DPDzero is building ๐—œ๐—ป๐—ฑ๐—ถ๐—ฎโ€™๐˜€ ๐—ฏ๐—ฒ๐˜€๐˜ ๐—”๐—œ Post Link - surl.li/pedxrs #SQLWithIDC #DPDzero

indiandataclub's tweet image. Weโ€™re happy to announce ๐——๐—ฃ๐——๐˜‡๐—ฒ๐—ฟ๐—ผ as our ๐—ง๐—ถ๐˜๐—น๐—ฒ ๐—ฆ๐—ฝ๐—ผ๐—ป๐˜€๐—ผ๐—ฟ ๐—ณ๐—ผ๐—ฟ ๐˜๐—ต๐—ฒ ๐Ÿฎ๐Ÿญ ๐——๐—ฎ๐˜†๐˜€ ๐—ผ๐—ณ ๐—ฆ๐—ค๐—Ÿ ๐—–๐—ต๐—ฎ๐—น๐—น๐—ฒ๐—ป๐—ด๐—ฒ.

DPDzero is building ๐—œ๐—ป๐—ฑ๐—ถ๐—ฎโ€™๐˜€ ๐—ฏ๐—ฒ๐˜€๐˜ ๐—”๐—œ

Post Link - surl.li/pedxrs

#SQLWithIDC #DPDzero

Day 3 โ€“ IDC 21 Days of SQL w/ #DPDzero Today's task: find top 5 weeks with highest patient refusals ๐Ÿ‘‡ Spotting refusal trends = key for healthcare ops & patient experience ๐Ÿ’ก On to Day 4 ๐Ÿš€ #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day3

Vikash040999's tweet image. Day 3 โ€“ IDC 21 Days of SQL w/ #DPDzero

Today's task: find top 5 weeks with highest patient refusals ๐Ÿ‘‡

Spotting refusal trends = key for healthcare ops & patient experience ๐Ÿ’ก

On to Day 4 ๐Ÿš€

#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day3

Day 11 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Find unique service + event combos (excluding null/none) & count occurrences ๐Ÿ‘‡ Event patterns = operational insights ๐Ÿ“Š On Day 12 ๐Ÿš€ @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #DataAnalytics #Day11

Vikash040999's tweet image. Day 11 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Find unique service + event combos (excluding null/none) & count occurrences ๐Ÿ‘‡

Event patterns = operational insights ๐Ÿ“Š
On Day 12 ๐Ÿš€

@dpdzero @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #DataAnalytics #Day11

Day 6 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Get admissions, refusals & admission rate per service ๐Ÿ‘‡ Understanding rates > raw counts โ€” real service performance insights ๐Ÿ“Š On to Day 7 ๐Ÿš€ @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #Day6

Vikash040999's tweet image. Day 6 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Get admissions, refusals & admission rate per service ๐Ÿ‘‡

Understanding rates > raw counts โ€” real service performance insights ๐Ÿ“Š
On to Day 7 ๐Ÿš€

@indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice  #Day6

Day 9 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Today's task was focused on date calculations, group-level analytics, and filtering aggregated data.โฌ‡๏ธ On to Day 10! ๐Ÿš€ @dpdzero | @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day9

Vikash040999's tweet image. Day 9 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Today's task was focused on date calculations, group-level analytics, and filtering aggregated data.โฌ‡๏ธ

On to Day 10! ๐Ÿš€

@dpdzero | @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day9

Day 12 โ€“ IDC 21 Days of SQL w/ #DPDzero Analyzed event impact by comparing weeks with events vs no events ๐Ÿ‘‡ Events clearly influence satisfaction & morale ๐Ÿ“Š On to Day 13 ๐Ÿš€ @dpdzero @indiandataclub #21DaysSQLChallenge #SQLLearning #DataAnalytics #SQLWithIDC #Day12

Vikash040999's tweet image. Day 12 โ€“ IDC 21 Days of SQL w/ #DPDzero

Analyzed event impact by comparing weeks with events vs no events ๐Ÿ‘‡

Events clearly influence satisfaction & morale ๐Ÿ“Š
On to Day 13 ๐Ÿš€

@dpdzero @indiandataclub 
#21DaysSQLChallenge #SQLLearning #DataAnalytics #SQLWithIDC #Day12

Day 10 โ€“ IDC 21 Days of SQL w/ #DPDzero Created a service performance report ๐Ÿฅ โ†’ Performance category (Excellent / Good / Fair / Needs Improvement) Leveling up CASE + Aggregation skills ๐Ÿ’ช @dpdzero @indiandataclub #21DaysSQL #SQLWithIDC #IndianDataClub #Analytics #Day10

Vikash040999's tweet image. Day 10 โ€“ IDC 21 Days of SQL w/ #DPDzero

Created a service performance report ๐Ÿฅ
โ†’ Performance category (Excellent / Good / Fair / Needs Improvement)

Leveling up CASE + Aggregation skills ๐Ÿ’ช

@dpdzero @indiandataclub 
#21DaysSQL #SQLWithIDC #IndianDataClub #Analytics #Day10

Day 2 โ€“ IDC 21 Days of SQL w/ #DPDzero Today's task: filter patients in Surgery with satisfaction < 70 ๐Ÿ‘‡ Learning SQL one query at a time โ€” real data, real insights ๐Ÿ’ช On to Day 3 ๐Ÿš€ #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #DataAnalytics #SQLPractice #Day2

Vikash040999's tweet image. Day 2 โ€“ IDC 21 Days of SQL w/ #DPDzero

Today&apos;s task: filter patients in Surgery with satisfaction &amp;lt; 70 ๐Ÿ‘‡

Learning SQL one query at a time โ€” real data, real insights ๐Ÿ’ช

On to Day 3 ๐Ÿš€
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #DataAnalytics #SQLPractice #Day2

Day 13 โ€“ IDC 21 Days of SQL w/ #DPDzero Built a report linking patients + staff availability. included services with >5 staff & sorted by staff count ๐Ÿ‘‡ Cross-table insights = stronger analysis ๐Ÿ’ช @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #DataAnalytics #Day13

Vikash040999's tweet image. Day 13 โ€“ IDC 21 Days of SQL w/ #DPDzero

Built a report linking patients + staff availability.
included services with &amp;gt;5 staff &amp;amp; sorted by staff count ๐Ÿ‘‡

Cross-table insights = stronger analysis ๐Ÿ’ช

@dpdzero @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #DataAnalytics #Day13

Day 14 โ€“ IDC 21 Days of SQL w/ #DPDzero Created a staff utilisation report showing all staff + how many weeks they were present. ๐Ÿ‘‡ LEFT JOIN + COALESCE = data completeness ๐Ÿ’ช @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #SQLPractice #DataAnalytics #Day14

Vikash040999's tweet image. Day 14 โ€“ IDC 21 Days of SQL w/ #DPDzero

Created a staff utilisation report showing all staff + how many weeks they were present.
๐Ÿ‘‡

LEFT JOIN + COALESCE = data completeness ๐Ÿ’ช

@dpdzero @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #SQLPractice #DataAnalytics #Day14

๐Ÿ’ฐ DPDzero raises $7M Series A led by GMO Venture Partners! Bengaluru fintech's AI-driven debt collection serves RBL Bank & IndusInd Bank. Will build own field agent network for ethical collection practices in India's debt recovery market. Follow @startup_stag #DPDzero #SeriesA

startup_stag's tweet image. ๐Ÿ’ฐ DPDzero raises $7M Series A led by GMO Venture Partners! Bengaluru fintech&apos;s AI-driven debt collection serves RBL Bank &amp;amp; IndusInd Bank. Will build own field agent network for ethical collection practices in India&apos;s debt recovery market.
Follow @startup_stag
#DPDzero #SeriesA

Day 9 โ€“ Date Functions in SQL Learning how different databases handle dates, from EXTRACT() in PostgreSQL to DATEDIFF() in MySQL and strftime() in SQLite. #SQLWithIDC #DPDZero

VennuSanjana's tweet image. Day 9 โ€“ Date Functions in SQL

Learning how different databases handle dates, from EXTRACT() in PostgreSQL to DATEDIFF() in MySQL and strftime() in SQLite.

 #SQLWithIDC #DPDZero
VennuSanjana's tweet image. Day 9 โ€“ Date Functions in SQL

Learning how different databases handle dates, from EXTRACT() in PostgreSQL to DATEDIFF() in MySQL and strftime() in SQLite.

 #SQLWithIDC #DPDZero

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

KaleRoshani1's tweet image. 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
KaleRoshani1's tweet image. 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
KaleRoshani1's tweet image. 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
KaleRoshani1's tweet image. 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 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

KaleRoshani1's tweet image. 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 = &apos;Surgery&apos; 
AND satisfaction_score&amp;lt;70

#dpdzero #indiandataclub #SQLWithIDC
KaleRoshani1's tweet image. 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 = &apos;Surgery&apos; 
AND satisfaction_score&amp;lt;70

#dpdzero #indiandataclub #SQLWithIDC

Day 1 โ€“ IDC 21 Days of SQL with #DPDzero Set up hospital DB + explored data โœ… First query ๐Ÿ‘‡ SELECT DISTINCT service FROM hospital.services_weekly; Strong foundations ๐Ÿ’ช On to Day 2 ๐Ÿš€ #21DaysOfSQL #IDCChallenge #SQLLearning #Day1 #MySQLJourney #SQLWithIDC


Digital debt recovery platform #DPDzero has raised $7 million in a #SeriesA funding round led by #Japanese investment firm #GMO Venture Partners. theheadandtale.com/fintech-news/dโ€ฆ

theheadandtale's tweet image. Digital debt recovery platform #DPDzero has raised $7 million in a #SeriesA funding round led by #Japanese investment firm #GMO Venture Partners.
theheadandtale.com/fintech-news/dโ€ฆ

Day 14 โ€“ IDC 21 Days of SQL w/ #DPDzero Created a staff utilisation report showing all staff + how many weeks they were present. ๐Ÿ‘‡ LEFT JOIN + COALESCE = data completeness ๐Ÿ’ช @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #SQLPractice #DataAnalytics #Day14

Vikash040999's tweet image. Day 14 โ€“ IDC 21 Days of SQL w/ #DPDzero

Created a staff utilisation report showing all staff + how many weeks they were present.
๐Ÿ‘‡

LEFT JOIN + COALESCE = data completeness ๐Ÿ’ช

@dpdzero @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #SQLPractice #DataAnalytics #Day14

Day 13 โ€“ IDC 21 Days of SQL w/ #DPDzero Built a report linking patients + staff availability. included services with >5 staff & sorted by staff count ๐Ÿ‘‡ Cross-table insights = stronger analysis ๐Ÿ’ช @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #DataAnalytics #Day13

Vikash040999's tweet image. Day 13 โ€“ IDC 21 Days of SQL w/ #DPDzero

Built a report linking patients + staff availability.
included services with &amp;gt;5 staff &amp;amp; sorted by staff count ๐Ÿ‘‡

Cross-table insights = stronger analysis ๐Ÿ’ช

@dpdzero @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #DataAnalytics #Day13

Day 12 โ€“ IDC 21 Days of SQL w/ #DPDzero Analyzed event impact by comparing weeks with events vs no events ๐Ÿ‘‡ Events clearly influence satisfaction & morale ๐Ÿ“Š On to Day 13 ๐Ÿš€ @dpdzero @indiandataclub #21DaysSQLChallenge #SQLLearning #DataAnalytics #SQLWithIDC #Day12

Vikash040999's tweet image. Day 12 โ€“ IDC 21 Days of SQL w/ #DPDzero

Analyzed event impact by comparing weeks with events vs no events ๐Ÿ‘‡

Events clearly influence satisfaction &amp;amp; morale ๐Ÿ“Š
On to Day 13 ๐Ÿš€

@dpdzero @indiandataclub 
#21DaysSQLChallenge #SQLLearning #DataAnalytics #SQLWithIDC #Day12

Day 11 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Find unique service + event combos (excluding null/none) & count occurrences ๐Ÿ‘‡ Event patterns = operational insights ๐Ÿ“Š On Day 12 ๐Ÿš€ @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #DataAnalytics #Day11

Vikash040999's tweet image. Day 11 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Find unique service + event combos (excluding null/none) &amp;amp; count occurrences ๐Ÿ‘‡

Event patterns = operational insights ๐Ÿ“Š
On Day 12 ๐Ÿš€

@dpdzero @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #DataAnalytics #Day11

Day 10 โ€“ IDC 21 Days of SQL w/ #DPDzero Created a service performance report ๐Ÿฅ โ†’ Performance category (Excellent / Good / Fair / Needs Improvement) Leveling up CASE + Aggregation skills ๐Ÿ’ช @dpdzero @indiandataclub #21DaysSQL #SQLWithIDC #IndianDataClub #Analytics #Day10

Vikash040999's tweet image. Day 10 โ€“ IDC 21 Days of SQL w/ #DPDzero

Created a service performance report ๐Ÿฅ
โ†’ Performance category (Excellent / Good / Fair / Needs Improvement)

Leveling up CASE + Aggregation skills ๐Ÿ’ช

@dpdzero @indiandataclub 
#21DaysSQL #SQLWithIDC #IndianDataClub #Analytics #Day10

Day 9 โ€“ Date Functions in SQL Learning how different databases handle dates, from EXTRACT() in PostgreSQL to DATEDIFF() in MySQL and strftime() in SQLite. #SQLWithIDC #DPDZero

VennuSanjana's tweet image. Day 9 โ€“ Date Functions in SQL

Learning how different databases handle dates, from EXTRACT() in PostgreSQL to DATEDIFF() in MySQL and strftime() in SQLite.

 #SQLWithIDC #DPDZero
VennuSanjana's tweet image. Day 9 โ€“ Date Functions in SQL

Learning how different databases handle dates, from EXTRACT() in PostgreSQL to DATEDIFF() in MySQL and strftime() in SQLite.

 #SQLWithIDC #DPDZero

Day 9 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Today's task was focused on date calculations, group-level analytics, and filtering aggregated data.โฌ‡๏ธ On to Day 10! ๐Ÿš€ @dpdzero | @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day9

Vikash040999's tweet image. Day 9 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Today&apos;s task was focused on date calculations, group-level analytics, and filtering aggregated data.โฌ‡๏ธ

On to Day 10! ๐Ÿš€

@dpdzero | @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day9

Day 8 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Show patient_id, full name in UPPERCASE, service in lowercase, age category , and name length โ€” only names >10 chars ๐Ÿ‘‡ On to Day 9 ๐Ÿš€ @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #Day8

Vikash040999's tweet image. Day 8 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Show patient_id, full name in UPPERCASE, service in lowercase, age category , and name length โ€” only names &amp;gt;10 chars ๐Ÿ‘‡

On to Day 9 ๐Ÿš€

@dpdzero  @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #Day8

Day 7 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Find services with >100 refusals & avg satisfaction < 80 ๐Ÿ‘‡ Spotting high-friction services = key for patient experience ๐Ÿ“Š Day 8 ๐Ÿš€ @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #Day7

Vikash040999's tweet image. Day 7 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Find services with &amp;gt;100 refusals &amp;amp; avg satisfaction &amp;lt; 80 ๐Ÿ‘‡

Spotting high-friction services = key for patient experience ๐Ÿ“Š

Day 8 ๐Ÿš€

@dpdzero @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice  #Day7

Day 6 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Get admissions, refusals & admission rate per service ๐Ÿ‘‡ Understanding rates > raw counts โ€” real service performance insights ๐Ÿ“Š On to Day 7 ๐Ÿš€ @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #Day6

Vikash040999's tweet image. Day 6 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Get admissions, refusals &amp;amp; admission rate per service ๐Ÿ‘‡

Understanding rates &amp;gt; raw counts โ€” real service performance insights ๐Ÿ“Š
On to Day 7 ๐Ÿš€

@indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice  #Day6

Day 5 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Get total patients admitted, total refused & avg satisfaction (2 decimals) ๐Ÿ‘‡ Aggregation = real insight for healthcare decisions ๐Ÿ“Š On to Day 6 ๐Ÿš€ @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #Day5

Vikash040999's tweet image. Day 5 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Get total patients admitted, total refused &amp;amp; avg satisfaction (2 decimals) ๐Ÿ‘‡

Aggregation = real insight for healthcare decisions ๐Ÿ“Š
On to Day 6 ๐Ÿš€

@dpdzero @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub  #Day5

Day 4 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Get the 3rd to 7th highest patient satisfaction scores ๐Ÿ‘‡ Learning rank logic = better control over real-world data slices ๐Ÿ” On to Day 5 ๐Ÿš€ #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day4

Vikash040999's tweet image. Day 4 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Get the 3rd to 7th highest patient satisfaction scores ๐Ÿ‘‡

Learning rank logic = better control over real-world data slices ๐Ÿ”

On to Day 5 ๐Ÿš€
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day4

Day 3 โ€“ IDC 21 Days of SQL w/ #DPDzero Today's task: find top 5 weeks with highest patient refusals ๐Ÿ‘‡ Spotting refusal trends = key for healthcare ops & patient experience ๐Ÿ’ก On to Day 4 ๐Ÿš€ #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day3

Vikash040999's tweet image. Day 3 โ€“ IDC 21 Days of SQL w/ #DPDzero

Today&apos;s task: find top 5 weeks with highest patient refusals ๐Ÿ‘‡

Spotting refusal trends = key for healthcare ops &amp;amp; patient experience ๐Ÿ’ก

On to Day 4 ๐Ÿš€

#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day3

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

KaleRoshani1's tweet image. 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 = &apos;Surgery&apos; 
AND satisfaction_score&amp;lt;70

#dpdzero #indiandataclub #SQLWithIDC
KaleRoshani1's tweet image. 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 = &apos;Surgery&apos; 
AND satisfaction_score&amp;lt;70

#dpdzero #indiandataclub #SQLWithIDC

Day 2 โ€“ IDC 21 Days of SQL w/ #DPDzero Today's task: filter patients in Surgery with satisfaction < 70 ๐Ÿ‘‡ Learning SQL one query at a time โ€” real data, real insights ๐Ÿ’ช On to Day 3 ๐Ÿš€ #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #DataAnalytics #SQLPractice #Day2

Vikash040999's tweet image. Day 2 โ€“ IDC 21 Days of SQL w/ #DPDzero

Today&apos;s task: filter patients in Surgery with satisfaction &amp;lt; 70 ๐Ÿ‘‡

Learning SQL one query at a time โ€” real data, real insights ๐Ÿ’ช

On to Day 3 ๐Ÿš€
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #DataAnalytics #SQLPractice #Day2

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

KaleRoshani1's tweet image. 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
KaleRoshani1's tweet image. 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
KaleRoshani1's tweet image. 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
KaleRoshani1's tweet image. 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

Weโ€™re happy to announce ๐——๐—ฃ๐——๐˜‡๐—ฒ๐—ฟ๐—ผ as our ๐—ง๐—ถ๐˜๐—น๐—ฒ ๐—ฆ๐—ฝ๐—ผ๐—ป๐˜€๐—ผ๐—ฟ ๐—ณ๐—ผ๐—ฟ ๐˜๐—ต๐—ฒ ๐Ÿฎ๐Ÿญ ๐——๐—ฎ๐˜†๐˜€ ๐—ผ๐—ณ ๐—ฆ๐—ค๐—Ÿ ๐—–๐—ต๐—ฎ๐—น๐—น๐—ฒ๐—ป๐—ด๐—ฒ. DPDzero is building ๐—œ๐—ป๐—ฑ๐—ถ๐—ฎโ€™๐˜€ ๐—ฏ๐—ฒ๐˜€๐˜ ๐—”๐—œ Post Link - surl.li/pedxrs #SQLWithIDC #DPDzero

indiandataclub's tweet image. Weโ€™re happy to announce ๐——๐—ฃ๐——๐˜‡๐—ฒ๐—ฟ๐—ผ as our ๐—ง๐—ถ๐˜๐—น๐—ฒ ๐—ฆ๐—ฝ๐—ผ๐—ป๐˜€๐—ผ๐—ฟ ๐—ณ๐—ผ๐—ฟ ๐˜๐—ต๐—ฒ ๐Ÿฎ๐Ÿญ ๐——๐—ฎ๐˜†๐˜€ ๐—ผ๐—ณ ๐—ฆ๐—ค๐—Ÿ ๐—–๐—ต๐—ฎ๐—น๐—น๐—ฒ๐—ป๐—ด๐—ฒ.

DPDzero is building ๐—œ๐—ป๐—ฑ๐—ถ๐—ฎโ€™๐˜€ ๐—ฏ๐—ฒ๐˜€๐˜ ๐—”๐—œ

Post Link - surl.li/pedxrs

#SQLWithIDC #DPDzero

Funding was led by Japan-based GMO Venture Partners, with participation from SMBC Asia and existing investor Blume Ventures. The company's valuation has more than doubled to $30.7 Mn. Co-founders Ananth Shroff and Ranjith B.R. have retained a 46.6% stake in the company #DPDzero

zubong_official's tweet image. Funding was led by Japan-based GMO Venture Partners, with participation from SMBC Asia and existing investor Blume Ventures. The company&apos;s valuation has more than doubled to $30.7 Mn. Co-founders Ananth Shroff and Ranjith B.R. have retained a 46.6% stake in the company

#DPDzero

Day 8 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Show patient_id, full name in UPPERCASE, service in lowercase, age category , and name length โ€” only names >10 chars ๐Ÿ‘‡ On to Day 9 ๐Ÿš€ @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #Day8

Vikash040999's tweet image. Day 8 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Show patient_id, full name in UPPERCASE, service in lowercase, age category , and name length โ€” only names &amp;gt;10 chars ๐Ÿ‘‡

On to Day 9 ๐Ÿš€

@dpdzero  @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #Day8

Day 6 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Get admissions, refusals & admission rate per service ๐Ÿ‘‡ Understanding rates > raw counts โ€” real service performance insights ๐Ÿ“Š On to Day 7 ๐Ÿš€ @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #Day6

Vikash040999's tweet image. Day 6 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Get admissions, refusals &amp;amp; admission rate per service ๐Ÿ‘‡

Understanding rates &amp;gt; raw counts โ€” real service performance insights ๐Ÿ“Š
On to Day 7 ๐Ÿš€

@indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice  #Day6

Weโ€™re happy to announce ๐——๐—ฃ๐——๐˜‡๐—ฒ๐—ฟ๐—ผ as our ๐—ง๐—ถ๐˜๐—น๐—ฒ ๐—ฆ๐—ฝ๐—ผ๐—ป๐˜€๐—ผ๐—ฟ ๐—ณ๐—ผ๐—ฟ ๐˜๐—ต๐—ฒ ๐Ÿฎ๐Ÿญ ๐——๐—ฎ๐˜†๐˜€ ๐—ผ๐—ณ ๐—ฆ๐—ค๐—Ÿ ๐—–๐—ต๐—ฎ๐—น๐—น๐—ฒ๐—ป๐—ด๐—ฒ. DPDzero is building ๐—œ๐—ป๐—ฑ๐—ถ๐—ฎโ€™๐˜€ ๐—ฏ๐—ฒ๐˜€๐˜ ๐—”๐—œ Post Link - surl.li/pedxrs #SQLWithIDC #DPDzero

indiandataclub's tweet image. Weโ€™re happy to announce ๐——๐—ฃ๐——๐˜‡๐—ฒ๐—ฟ๐—ผ as our ๐—ง๐—ถ๐˜๐—น๐—ฒ ๐—ฆ๐—ฝ๐—ผ๐—ป๐˜€๐—ผ๐—ฟ ๐—ณ๐—ผ๐—ฟ ๐˜๐—ต๐—ฒ ๐Ÿฎ๐Ÿญ ๐——๐—ฎ๐˜†๐˜€ ๐—ผ๐—ณ ๐—ฆ๐—ค๐—Ÿ ๐—–๐—ต๐—ฎ๐—น๐—น๐—ฒ๐—ป๐—ด๐—ฒ.

DPDzero is building ๐—œ๐—ป๐—ฑ๐—ถ๐—ฎโ€™๐˜€ ๐—ฏ๐—ฒ๐˜€๐˜ ๐—”๐—œ

Post Link - surl.li/pedxrs

#SQLWithIDC #DPDzero

Day 4 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Get the 3rd to 7th highest patient satisfaction scores ๐Ÿ‘‡ Learning rank logic = better control over real-world data slices ๐Ÿ” On to Day 5 ๐Ÿš€ #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day4

Vikash040999's tweet image. Day 4 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Get the 3rd to 7th highest patient satisfaction scores ๐Ÿ‘‡

Learning rank logic = better control over real-world data slices ๐Ÿ”

On to Day 5 ๐Ÿš€
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day4

Day 3 โ€“ IDC 21 Days of SQL w/ #DPDzero Today's task: find top 5 weeks with highest patient refusals ๐Ÿ‘‡ Spotting refusal trends = key for healthcare ops & patient experience ๐Ÿ’ก On to Day 4 ๐Ÿš€ #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day3

Vikash040999's tweet image. Day 3 โ€“ IDC 21 Days of SQL w/ #DPDzero

Today&apos;s task: find top 5 weeks with highest patient refusals ๐Ÿ‘‡

Spotting refusal trends = key for healthcare ops &amp;amp; patient experience ๐Ÿ’ก

On to Day 4 ๐Ÿš€

#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day3

Day 11 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Find unique service + event combos (excluding null/none) & count occurrences ๐Ÿ‘‡ Event patterns = operational insights ๐Ÿ“Š On Day 12 ๐Ÿš€ @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #DataAnalytics #Day11

Vikash040999's tweet image. Day 11 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Find unique service + event combos (excluding null/none) &amp;amp; count occurrences ๐Ÿ‘‡

Event patterns = operational insights ๐Ÿ“Š
On Day 12 ๐Ÿš€

@dpdzero @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #DataAnalytics #Day11

Day 2 โ€“ IDC 21 Days of SQL w/ #DPDzero Today's task: filter patients in Surgery with satisfaction < 70 ๐Ÿ‘‡ Learning SQL one query at a time โ€” real data, real insights ๐Ÿ’ช On to Day 3 ๐Ÿš€ #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #DataAnalytics #SQLPractice #Day2

Vikash040999's tweet image. Day 2 โ€“ IDC 21 Days of SQL w/ #DPDzero

Today&apos;s task: filter patients in Surgery with satisfaction &amp;lt; 70 ๐Ÿ‘‡

Learning SQL one query at a time โ€” real data, real insights ๐Ÿ’ช

On to Day 3 ๐Ÿš€
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #DataAnalytics #SQLPractice #Day2

Bengaluru-based @dpdzero doubled its revenue in FY24, reaching Rs 8.3 crore, up from Rs 4 crore in FY23. Read more at: thekredible.com/blogs/dpdzero-โ€ฆ #fy24 #financials #dpdzero #fintech #startup

TheKredible's tweet image. Bengaluru-based @dpdzero  doubled its revenue in FY24, reaching Rs 8.3 crore, up from Rs 4 crore in FY23.

Read more at: thekredible.com/blogs/dpdzero-โ€ฆ 

#fy24 #financials #dpdzero #fintech #startup

๐Ÿ’ฐ DPDzero raises $7M Series A led by GMO Venture Partners! Bengaluru fintech's AI-driven debt collection serves RBL Bank & IndusInd Bank. Will build own field agent network for ethical collection practices in India's debt recovery market. Follow @startup_stag #DPDzero #SeriesA

startup_stag's tweet image. ๐Ÿ’ฐ DPDzero raises $7M Series A led by GMO Venture Partners! Bengaluru fintech&apos;s AI-driven debt collection serves RBL Bank &amp;amp; IndusInd Bank. Will build own field agent network for ethical collection practices in India&apos;s debt recovery market.
Follow @startup_stag
#DPDzero #SeriesA

Day 9 โ€“ IDC 21 Days of SQL w/ #DPDzero Task: Today's task was focused on date calculations, group-level analytics, and filtering aggregated data.โฌ‡๏ธ On to Day 10! ๐Ÿš€ @dpdzero | @indiandataclub #21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day9

Vikash040999's tweet image. Day 9 โ€“ IDC 21 Days of SQL w/ #DPDzero

Task: Today&apos;s task was focused on date calculations, group-level analytics, and filtering aggregated data.โฌ‡๏ธ

On to Day 10! ๐Ÿš€

@dpdzero | @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #IndianDataClub #SQLPractice #DataAnalytics #Day9

Day 12 โ€“ IDC 21 Days of SQL w/ #DPDzero Analyzed event impact by comparing weeks with events vs no events ๐Ÿ‘‡ Events clearly influence satisfaction & morale ๐Ÿ“Š On to Day 13 ๐Ÿš€ @dpdzero @indiandataclub #21DaysSQLChallenge #SQLLearning #DataAnalytics #SQLWithIDC #Day12

Vikash040999's tweet image. Day 12 โ€“ IDC 21 Days of SQL w/ #DPDzero

Analyzed event impact by comparing weeks with events vs no events ๐Ÿ‘‡

Events clearly influence satisfaction &amp;amp; morale ๐Ÿ“Š
On to Day 13 ๐Ÿš€

@dpdzero @indiandataclub 
#21DaysSQLChallenge #SQLLearning #DataAnalytics #SQLWithIDC #Day12

Digital debt recovery platform #DPDzero has raised $7 million in a #SeriesA funding round led by #Japanese investment firm #GMO Venture Partners. theheadandtale.com/fintech-news/dโ€ฆ

theheadandtale's tweet image. Digital debt recovery platform #DPDzero has raised $7 million in a #SeriesA funding round led by #Japanese investment firm #GMO Venture Partners.
theheadandtale.com/fintech-news/dโ€ฆ

Is baar Diwali ๐Ÿช”, @dpdzero wali ๐Ÿ˜Š As the festival of lights brightens our homes, may it also bring a glow of happiness to all our professional journeys. Wishing you a sparkling Diwali filled with #success and #accomplishments! โœจ #DPDzero #Diwali2023 #festivaloflights

khushbakhru's tweet image. Is baar Diwali ๐Ÿช”, @dpdzero wali ๐Ÿ˜Š

As the festival of lights brightens our homes, may it also bring a glow of happiness to all our professional journeys.

Wishing you a sparkling Diwali filled with #success and #accomplishments! โœจ  

#DPDzero #Diwali2023 #festivaloflights

DPDzero has raised $7 million in a funding round led by Japan-based GMO Venture Partners, with participation from SMBC Asia and others. Read more: ceovine.com/dpdzero-raisesโ€ฆ #DPDzero #Fintech #DebtCollection #StartupFunding #AI #NBFC #Ceovine #GMOventures #IndiaStartups

CeoVine's tweet image. DPDzero has raised $7 million in a funding round led by Japan-based GMO Venture Partners, with participation from SMBC Asia and others.

Read more: ceovine.com/dpdzero-raisesโ€ฆ

#DPDzero #Fintech #DebtCollection #StartupFunding #AI #NBFC #Ceovine #GMOventures #IndiaStartups

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

KaleRoshani1's tweet image. 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
KaleRoshani1's tweet image. 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
KaleRoshani1's tweet image. 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
KaleRoshani1's tweet image. 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 10 โ€“ IDC 21 Days of SQL w/ #DPDzero Created a service performance report ๐Ÿฅ โ†’ Performance category (Excellent / Good / Fair / Needs Improvement) Leveling up CASE + Aggregation skills ๐Ÿ’ช @dpdzero @indiandataclub #21DaysSQL #SQLWithIDC #IndianDataClub #Analytics #Day10

Vikash040999's tweet image. Day 10 โ€“ IDC 21 Days of SQL w/ #DPDzero

Created a service performance report ๐Ÿฅ
โ†’ Performance category (Excellent / Good / Fair / Needs Improvement)

Leveling up CASE + Aggregation skills ๐Ÿ’ช

@dpdzero @indiandataclub 
#21DaysSQL #SQLWithIDC #IndianDataClub #Analytics #Day10

Day 13 โ€“ IDC 21 Days of SQL w/ #DPDzero Built a report linking patients + staff availability. included services with >5 staff & sorted by staff count ๐Ÿ‘‡ Cross-table insights = stronger analysis ๐Ÿ’ช @dpdzero @indiandataclub #21DaysSQLChallenge #SQLWithIDC #DataAnalytics #Day13

Vikash040999's tweet image. Day 13 โ€“ IDC 21 Days of SQL w/ #DPDzero

Built a report linking patients + staff availability.
included services with &amp;gt;5 staff &amp;amp; sorted by staff count ๐Ÿ‘‡

Cross-table insights = stronger analysis ๐Ÿ’ช

@dpdzero @indiandataclub 
#21DaysSQLChallenge #SQLWithIDC #DataAnalytics #Day13

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

KaleRoshani1's tweet image. 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 = &apos;Surgery&apos; 
AND satisfaction_score&amp;lt;70

#dpdzero #indiandataclub #SQLWithIDC
KaleRoshani1's tweet image. 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 = &apos;Surgery&apos; 
AND satisfaction_score&amp;lt;70

#dpdzero #indiandataclub #SQLWithIDC

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