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shemustexcel's profile picture. Aspiring Data Analyst

AJ

@shemustexcel

Aspiring Data Analyst

62Posts 60Followers 132Following
shemustexcel's profile picture.
AJ
 @shemustexcel
Sep 20

Day 14–16 mySQL Learned logical functions:IFNULL, IF, CASE for conditional queries. Practiced date functions:DATE_ADD, DATE_SUB, DATEDIFF, CURRENT_DATE, TIMESTAMPDIFF. Used COALESCE to handle NULLs. Wrote queries to calculate employee age &group them into categories. #SQL #Data

shemustexcel's tweet image. Day 14–16 mySQL Learned logical functions:IFNULL, IF, CASE for conditional queries. Practiced date functions:DATE_ADD, DATE_SUB, DATEDIFF, CURRENT_DATE, TIMESTAMPDIFF. Used COALESCE to handle NULLs. Wrote queries to calculate employee age &group them into categories. #SQL #Data
shemustexcel's tweet image. Day 14–16 mySQL Learned logical functions:IFNULL, IF, CASE for conditional queries. Practiced date functions:DATE_ADD, DATE_SUB, DATEDIFF, CURRENT_DATE, TIMESTAMPDIFF. Used COALESCE to handle NULLs. Wrote queries to calculate employee age &group them into categories. #SQL #Data
shemustexcel's tweet image. Day 14–16 mySQL Learned logical functions:IFNULL, IF, CASE for conditional queries. Practiced date functions:DATE_ADD, DATE_SUB, DATEDIFF, CURRENT_DATE, TIMESTAMPDIFF. Used COALESCE to handle NULLs. Wrote queries to calculate employee age &group them into categories. #SQL #Data
shemustexcel's tweet image. Day 14–16 mySQL Learned logical functions:IFNULL, IF, CASE for conditional queries. Practiced date functions:DATE_ADD, DATE_SUB, DATEDIFF, CURRENT_DATE, TIMESTAMPDIFF. Used COALESCE to handle NULLs. Wrote queries to calculate employee age &group them into categories. #SQL #Data
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shemustexcel's profile picture.
AJ
 @shemustexcel
Sep 17

Day 10–12 of mySQL Challenge Day 10 – Learned GROUP BY with aggregates like SUM to find total salaries per department. Day 11 – Used MAX with GROUP BY to find the country+language with the highest speakers. Day 12 – Practiced HAVING to filter aggregated results. #SQL

shemustexcel's tweet image. Day 10–12 of mySQL Challenge Day 10 – Learned GROUP BY with aggregates like SUM to find total salaries per department. Day 11 – Used MAX with GROUP BY to find the country+language with the highest speakers. Day 12 – Practiced HAVING to filter aggregated results. #SQL
shemustexcel's tweet image. Day 10–12 of mySQL Challenge Day 10 – Learned GROUP BY with aggregates like SUM to find total salaries per department. Day 11 – Used MAX with GROUP BY to find the country+language with the highest speakers. Day 12 – Practiced HAVING to filter aggregated results. #SQL
shemustexcel's tweet image. Day 10–12 of mySQL Challenge Day 10 – Learned GROUP BY with aggregates like SUM to find total salaries per department. Day 11 – Used MAX with GROUP BY to find the country+language with the highest speakers. Day 12 – Practiced HAVING to filter aggregated results. #SQL
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shemustexcel's profile picture.
AJ
 @shemustexcel
Sep 9

Day 9 of MySQL challenge Today,I dived into pattern matching with LIKE & REGEXP. I practiced filtering employees by job titles, listing Sakila actors starting with “S”, pulling Nigerian cities from World DB, and finding countries ending with “A”. SQL + REGEXP = data sniper 🎯

shemustexcel's tweet image. Day 9 of MySQL challenge Today,I dived into pattern matching with LIKE & REGEXP. I practiced filtering employees by job titles, listing Sakila actors starting with “S”, pulling Nigerian cities from World DB, and finding countries ending with “A”. SQL + REGEXP = data sniper 🎯
shemustexcel's tweet image. Day 9 of MySQL challenge Today,I dived into pattern matching with LIKE & REGEXP. I practiced filtering employees by job titles, listing Sakila actors starting with “S”, pulling Nigerian cities from World DB, and finding countries ending with “A”. SQL + REGEXP = data sniper 🎯
shemustexcel's tweet image. Day 9 of MySQL challenge Today,I dived into pattern matching with LIKE & REGEXP. I practiced filtering employees by job titles, listing Sakila actors starting with “S”, pulling Nigerian cities from World DB, and finding countries ending with “A”. SQL + REGEXP = data sniper 🎯
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shemustexcel's profile picture.
AJ
 @shemustexcel
Sep 8

My laptop stopped working for a couple of days but it’s back now,I’ll make sure to share what I learned during that period following the MySQL 30day challenge

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AJ reposted
Oluwaspecial_05's profile picture.
Anuoluwapo
 @Oluwaspecial_05
Sep 3

🎊🤩 Excited to announce that I’ll be starting the 100 Days of Cybersecurity challenge For the next 100 days, I’ll be learning, practicing, and sharing insights as I deepen my knowledge and skills in the world of cybersecurity #100DaysOfCybersecurity #Cybersecurity @Cyblackorg

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AJ reposted
web3tings's profile picture.
Olatunbosun
 @web3tings
Sep 2

Day 4 still on subqueries but intermediate subqueries, will try again tomorrow and also master level subqueries The more I practice the more I learn and understand SQL in general The main thing about subqueries to me is understanding how to analyse the question

web3tings's tweet image. Day 4 still on subqueries but intermediate subqueries, will try again tomorrow and also master level subqueries The more I practice the more I learn and understand SQL in general The main thing about subqueries to me is understanding how to analyse the question
web3tings's tweet image. Day 4 still on subqueries but intermediate subqueries, will try again tomorrow and also master level subqueries The more I practice the more I learn and understand SQL in general The main thing about subqueries to me is understanding how to analyse the question
web3tings's tweet image. Day 4 still on subqueries but intermediate subqueries, will try again tomorrow and also master level subqueries The more I practice the more I learn and understand SQL in general The main thing about subqueries to me is understanding how to analyse the question
web3tings's tweet image. Day 4 still on subqueries but intermediate subqueries, will try again tomorrow and also master level subqueries The more I practice the more I learn and understand SQL in general The main thing about subqueries to me is understanding how to analyse the question
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