Hiring: Virtual Assistant
Salary: 300,000-400,000/month
π Remote
Employment Type: Part-time
β Job Summary
- We are looking for detail-oriented Virtual Assistants to support our daily operations.
- You will handle administrative tasks, social media management, community engagement, data entry, and customer inquiries.
- This is a hands-on role where you will work directly with the founder and operations team.
FULL OUTER JOIN β Returns all rows from both tables
CROSS JOIN β Returns the Cartesian product (every row from one table paired with every row from the other).
SELF JOIN β A table joined with itself, useful for hierarchical data like employees & managers
Day 17β19 of my SQL journey
I finally tackled JOINS in MySQL and at first, it was really confusing, but practicing made it click.
Hereβs a breakdown π§΅
#100DaysOfCode#SQL#DataAnalytics
INNER JOIN β Returns only rows with matches in both tables.
LEFT JOIN β Returns all rows from the left table + matches from the right (NULL if no match).
RIGHT JOIN β Returns all rows from the right table + matches from the left (NULL if no match).
Day 14β16 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
Day 13 of mySQL challenge
I worked on converting text-based dates into proper SQL date formats using STR_TO_DATE().
When importing data, dates often come in as plain text (e.g. 2020-05-12, or 01-Jan-2003). This can cause problems if you want to run calculations or filtering.
π
Day 10β12 of mySQL Challenge
Day 10 β Learned GROUP BY with aggregates like SUM to find total salaries per department.
Day 11 β Used MAX with GROUP BY to find the country+language with the highest speakers.
Day 12 β Practiced HAVING to filter aggregated results.
#SQL
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 βSβ, pulling Nigerian cities from World DB, and finding countries ending with βAβ.
SQL + REGEXP = data sniper π―