u/Ok-Adhesiveness-8757

Hi everyone!

I put together this post on four key areas that can help you become a better data analyst.

The idea is to go beyond simply learning tools and techniques, and also think about the concepts you understand, how you approach problems, and the different perspectives or lenses you bring to a problem.

I’ve been putting together a series called “Data Analysis 101 for Cat People”, where I use doodles to explain some of the practical, messy, and ambiguous situations that come up in data work.

The idea is less about teaching SQL or tools and more about helping someone new to data understand the real-world thinking behind the work — asking better questions, dealing with ambiguity, understanding requirements, interpreting what the data is (and isn’t) telling you, and turning messy situations into clear next steps.

I’m also putting these together as a newsletter on Substack - https://thedatadoodles.substack.com

For those of you who work with data: what are some situations you’ve encountered that you think someone starting out should be familiar with?

I’d be happy to hear your examples and experiences.

Hi everyone!

I’m back with another one of my data analysis cat doodles. This time, I tried to incorporate some of the feedback I received on my earlier work—especially around making the fonts and text more readable.

Would be happy to hear your thoughts / feedback!

I’ve been making these little Data Analysis 101 doodles for cat people, and for this one I tried something different — a flipbook-style format.

Instead of putting everything into one busy infographic, I’ve broken the story into separate scenes, so each one focuses on a single idea and hopefully doesn’t demand too much attention at once.

I’ve also incorporated feedback I received on my previous posts, especially around making the visuals easier to follow.

This one is about what to do when you join a data project that’s already in motion.

Would be happy to hear your feedback on this!

I’ve been making these little Data Analysis 101 doodles for cat people, and for this one I tried something different — a flipbook-style format.

Instead of putting everything into one busy infographic, I’ve broken the story into separate scenes, so each one focuses on a single idea and hopefully doesn’t demand too much attention at once.

I’ve also incorporated feedback I received on my previous posts, especially around making the visuals easier to follow.

This one is about what to do when you join a data project that’s already in motion.

Would be happy to hear your feedback on this!

I tried explaining a data analysis concept in a fun, visual way — for cat lovers. 😸

Would love to hear what you think! Any feedback or suggestions are very welcome :)

I tried explaining a data analysis concept in a fun, visual way — for cat lovers. 😸
Would love to hear what you think! Any feedback or suggestions are very welcome :)

Hi everyone!

I've shared a few SQL doodles here before, and this time I wanted to try something different.

I made a hand-drawn doodle to explain the journey from Data → Information → Knowledge → Wisdom using a wardrobe analogy. The idea is to help beginners in data analytics and business intelligence understand how raw data eventually leads to meaningful actions.

I'd really appreciate any feedback, thanks!

One thing about me: I absolutely love making art. 🎨

(You can probably tell from the slightly unnecessary number of sketch pens I own. 😅)

Whenever I'm about to draw, I instinctively organize them—first by color, then by shade. It makes finding the exact pen so much easier, and I can spend more time creating instead of searching.

And somewhere in the middle of doing that today, my data brain interrupted:

"Wait... that's basically ORDER BY." 😂

So this became Episode II of my SELECT * FROM LIFE; series.

The idea behind this series is simple: taking everyday moments and turning them into SQL doodles. I'm hoping it makes SQL feel a little less intimidating—and a little more fun.

This is also a little different from the doodles I've shared before. Most of my older ones featured cats 🐱, but I've been experimenting with different styles.

Would love to hear what you think! Feedback, suggestions, or ideas for future SQL concepts are always welcome. 😊

I recently tried a fun little experiment to make SQL feel a bit more approachable—using hand-drawn cat doodles to explain SQL concepts. 😸
So far I've made two lessons:

Lesson 1: SELECT and FROM
PAWQL = SQL for Cat People Lesson #1
Lesson 2: WHERE
PAWQL = SQL for Cat People Lesson #2

The idea is to explain SQL visually, with simple doodles instead of walls of text. I'm still experimenting with the format, so I'd genuinely love to hear what works, what doesn't, and what could be improved.

Thanks for taking a look, and I appreciate any feedback! 😊

I’m trying something fun to make SQL feel a little more friendly (especially for fellow cat lovers 😸). This doodle explains WHERE (I’ve already explained SELECT and FROM in one of my previous doodles!) — and I’d really appreciate any feedback. Thanks for taking a look! :)