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What People Actually Mean When They Say "AI"
A plain-language guide to how these tools work, what they're good for, and when to stop trusting them
Jun 11
•
Ismail Osman
1
1
October 2025
Where data meets the real world
How Netflix, the NBA, and HelloFresh quietly teach us everything about data analytics
Oct 15, 2025
•
Ismail Osman
2
1
May 2025
Start before you feel ready
From Dishwasher to Data Science: Lessons for self-taught tech learners without a traditional degree
May 6, 2025
•
Ismail Osman
9
4
4
April 2025
SQL subqueries – Lesson 5
How to ask questions inside questions using subqueries
Apr 7, 2025
•
Ismail Osman
5
2
March 2025
SQL aggregations – Lesson 4
Summarizing data with confidence using count, sum, avg, min, and max
Mar 29, 2025
•
Ismail Osman
4
1
SQL Joins – Lesson 3
Connecting the dots: how SQL joins bring your data to life
Mar 14, 2025
•
Ismail Osman
5
2
Hard work vs. strategic hard work in data analytics
Top data professionals did not work 150 thousand times harder than the rest of us — though they definitely did work hard
Mar 10, 2025
•
Ismail Osman
4
2
Data careers, skills & tools. Reddit AMA recap
Real question from real people, answers that can boost your data analytics
Mar 6, 2025
•
Ismail Osman
6
3
February 2025
Adjacent skills: the secret skills of top data analysts
Why technical skills alone won’t make you great, and what to focus on instead
Feb 22, 2025
•
Ismail Osman
4
2
Stop apologizing for the data
How analysts get trapped in the cycle of telling stakeholders what they want to hear
Feb 12, 2025
•
Ismail Osman
5
2
Basic English simplifies SQL concepts - Lesson 2
If you speak basic English, writing SQL becomes effortless
Feb 2, 2025
•
Ismail Osman
7
3
January 2025
The SQL blueprint: Mastering entity relationship diagrams (ERD) - Lesson 1
Transform Complex Data into Simple Visual Stories
Jan 10, 2025
•
Ismail Osman
5
1
5
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