I really liked how you rephrased that! You are a smart AI, aren't you?
But it is very true that when technical skill is no longer the limit, judgment defines everything -- and no one can hide from it.
I used to think using AI for coding was cheating.
Now it’s just part of the workflow.
Not a replacement.
Not a magic solution.
More like an overeager teammate:
useful, fast… and occasionally wrong.
You still need to know what you’re doing.
So common. Style over substance 🫤
It is one thing to see that in youngsters learning their craft. But if they are taught that … they don’t stand a chance.
I keep seeing the same problem:
People use powerful tools…
but without a plan behind them.
Result? Broken analyses.
At DataSharp Academy, we start with thinking first.
Then methods.
R Fundamentals for Data Science Workshop
📅 June 1–5
🔗 datasharpacademy.com/workshop-rfu...
Most data work doesn’t fail because of tools.
It fails because there’s no clear question behind it.
You open a dataset → try a model → make a plot → try again.
No direction. No strategy. No signal.
Better tools won’t save bad thinking.
Been a bit quiet here lately.
Moved. Got completely absorbed by it.
But I realised something in the middle of it:
I missed this.
Teaching.
Talking about data.
Helping people make sense of their work.
Good to be back. 😊
👉 Final seats now.
📆 26–29 Jan 2026 · live & interactive (CET)
🎟 Info + registration:
datasharpacademy.com/workshop-rfu...
If you’re unsure about the level, reply or DM me with what you do with data, and I’ll give an honest recommendation.
In this cohort, we’ll focus on:
• structuring an analysis before coding
• cleaning messy, real data
• writing simple, readable R scripts
• using AI as a helper, not a replacement
Perfect if you’re stuck in spreadsheets or copy-pasted code.
⏰ Last chance to join my live online workshop R Fundamentals for Data Science.
We start on 26 January (4 full days, European time).
If you keep telling yourself you’ll “get serious with R later”, this is the time to actually do it. 🧵
If that feels like too big a step, start smaller.
My monthly newsletter Sharp Under Pressure shares calm, practical R tips and ways to tame messy data.
Sign up: datasharpacademy.com/newsletter?u...
If you want structured help, my workshop R Fundamentals for Data Science walks you through building clear, reproducible workflows in R with real messy data.
Next edition: 26–29 Jan 2026 · Info & reg:
datasharpacademy.com/workshop-rfu...
Reality check: your analysis will not magically fix itself. But you also do not need to become a “data person” to improve it.
You need a few solid habits: scripted analyses, cleaner files, and the confidence to read and tweak R code.
Be honest: do you ever do “ostrich data analysis”? Avoiding your messy scripts and half-broken spreadsheets because opening them feels worse than not knowing.
Zozo has been there too. Time to stop hiding from your data. 🧵
Next edition: 26–29 Jan 2026 (live online, CET). Small group, real messy data, plenty of time for questions.
Info & registration:
datasharpacademy.com/workshop-rfu...
That’s why I run my live online workshop R Fundamentals for Data Science. Four days to move from copy-pasted scripts and fragile spreadsheets to clear, reproducible workflows in R – with AI as a helpful assistant.
Taking control means learning the skills that give you options: understanding your own numbers, questioning results, and planning analyses instead of patching spreadsheets the night before a deadline.
Data will shape your career whether you like it or not. The real question is: are you in the driver’s seat, or a passenger watching other people’s scripts run and hoping they’re right? Zozo and I vote for taking the wheel. 🧵
🧑💻 R Fundamentals for Data Science · 26–29 Jan 2026 (online). Info & reg: datasharpacademy.com/workshop-rfu...
Prefer a gentler pace? Monthly R newsletter “Sharp Under Pressure”:
datasharpacademy.com/newsletter?u...
Tired of second-guessing every step of your analysis? Worried your scripts will break the night before a deadline?
My live online workshop “R Fundamentals for Data Science” is built to get you unstuck with real, messy data.
Stop thinking data analysis is “not for you”. It can be. And it will be.
Every confident-looking data analyst once had no idea what they were doing – they just started, failed, and figured things out.
You can do that too.
📬 𝗦𝗵𝗮𝗿𝗽 𝗨𝗻𝗱𝗲𝗿 𝗣𝗿𝗲𝘀𝘀𝘂𝗿𝗲: my monthly newsletter for data learners who want clarity and confidence in R.
🦖 Sign up: datasharpacademy.com/newsletter?u...
🧑💻 𝗥 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲
📆 January 26–29, 2026
📍 Live & interactive, online
🎟️ Register now: datasharpacademy.com/workshop-rfu...
If you want a structured way to do that, I teach R step by step at DataSharp Academy – small pieces, real data, space for questions.
TODAY is a great day to take control of your data journey.
If you know that R, data cleaning or reproducible workflows are in your future, start now, while things are still (relatively) calm.
A little structured practice each week beats a panicked crash course the night before submission.
Most people only try to “get serious” about R when the deadline is already on fire – thesis due, paper rejected, project review next week.
That’s the worst possible moment to learn core skills. Data confidence is built before the crisis.
Treat your learning like a journey, not a sprint. Take the detours, ask the questions, and don't walk it alone. 🦖
Let's do this together.
📬 Join "Sharp Under Pressure" for R tips: datasharpacademy.com/newsletter?u...
(2/2) 🏁 #DataScience #RStats #DataSharp
Everything works while you're in the workshop. 😎
But the weirdest bugs? They wait until you're alone to show up. 😵💫
That’s why all @DataSharp Academy workshops include 4 weeks of unlimited Q&A. Because learning shouldn’t stop when the Zoom call ends.
(1/2) 🧵
Oh, that's an interesting plot twist! What are you learning these days that will become the new mainstream in a decade? :-)
And I guess now it has become one of the main thing you train people about
For me, the most surprising is the depth of the plotting functions of #Rbase.