@manuelchevalier
Ex-academic data coach helping people who work with data build confident, independent skills in R, using AI to assist rather than replace you. Founder of DataSharp Academy. Here to make data analysis feel natural and doable. More at: datasharpacademy.com
๐ Final seats now.
๐ 26โ29 Jan 2026 ยท live & interactive (CET)
๐ Info + registration:
datasharpacademy.com/workshop-rfu...
If youโre unsure about the level, reply or DM me with what you do with data, and Iโll give an honest recommendation.
In this cohort, weโll focus on:
โข structuring an analysis before coding
โข cleaning messy, real data
โข writing simple, readable R scripts
โข using AI as a helper, not a replacement
Perfect if youโre stuck in spreadsheets or copy-pasted code.
โฐ 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 youโll โget serious with R laterโ, this is the time to actually do it. ๐งต
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: 26โ29 Jan 2026 ยท Info & reg:
datasharpacademy.com/workshop-rfu...
Reality check: your analysis will not magically fix itself. But you also do not need to become a โdata personโ 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 โostrich data analysisโ? 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. ๐งต
Next edition: 26โ29 Jan 2026 (live online, CET). Small group, real messy data, plenty of time for questions.
Info & registration:
datasharpacademy.com/workshop-rfu...
Thatโs 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 โ 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 driverโs seat, or a passenger watching other peopleโs scripts run and hoping theyโre right? Zozo and I vote for taking the wheel. ๐งต
๐งโ๐ป R Fundamentals for Data Science ยท 26โ29 Jan 2026 (online). Info & reg: datasharpacademy.com/workshop-rfu...
Prefer a gentler pace? Monthly R newsletter โSharp Under Pressureโ:
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 โR Fundamentals for Data Scienceโ is built to get you unstuck with real, messy data.
Stop thinking data analysis is โnot for youโ. It can be. And it will be.
Every confident-looking data analyst once had no idea what they were doing โ they just started, failed, and figured things out.
You can do that too.
๐ฌ ๐ฆ๐ต๐ฎ๐ฟ๐ฝ ๐จ๐ป๐ฑ๐ฒ๐ฟ ๐ฃ๐ฟ๐ฒ๐๐๐๐ฟ๐ฒ: my monthly newsletter for data learners who want clarity and confidence in R.
๐ฆ Sign up: datasharpacademy.com/newsletter?u...
๐งโ๐ป ๐ฅ ๐๐๐ป๐ฑ๐ฎ๐บ๐ฒ๐ป๐๐ฎ๐น๐ ๐ณ๐ผ๐ฟ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ
๐ January 26โ29, 2026
๐ Live & interactive, online
๐๏ธ Register now: datasharpacademy.com/workshop-rfu...
If you want a structured way to do that, I teach R step by step at DataSharp Academy โ 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 โget seriousโ about R when the deadline is already on fire โ thesis due, paper rejected, project review next week.
Thatโs 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. ๐ฆ
Let's do this together.
๐ฌ Join "Sharp Under Pressure" for R tips: datasharpacademy.com/newsletter?u...
(2/2) ๐ #DataScience #RStats #DataSharp
Everything works while you're in the workshop. ๐
But the weirdest bugs? They wait until you're alone to show up. ๐ตโ๐ซ
Thatโs why all @DataSharp Academy workshops include 4 weeks of unlimited Q&A. Because learning shouldnโt stop when the Zoom call ends.
(1/2) ๐งต
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.
That's a good one!
#TheRestIsHistory ๐
Thanks for sharing, David. I had a similar experience many years back when I started. The power of R is its ecosystem. Whatever you want to do, there is already a one-liner function that does it for you.
๐ฏ Iโm always curious how people first got into R. Was it through plotting? Analysing data? A specific package?
What was the first thing that made you say, "How cool would it be if I knew some R?"
For that, I created a quick poll: www.linkedin.com/feed/update/...
Build your vocabulary (functions, arguments), your grammar (how pieces connect) and your understanding (what the code does).
Once you know the basics, you can start combining, improvising and building.
Want help? Newsletter:
๐ datasharpacademy.com/newsletter?u...
When you only copyโpaste, code feels like text in an alphabet you canโt read.
The words are there, but do they make sense?
Can you tweak them to say something slightly different?
Thatโs when itโs time to study R like a real language.