⏰ Last chance to join my live online workshop R Fundamentals for Data Science – we start on 26–29 Jan 2026 (four full days, CET).
We’ll work with real, messy data and focus on structuring analyses, cleaning data, writing simple, readable R scripts, and using AI as a helper rather than a replacement.
Perfect if you’re ready to move beyond fragile spreadsheets and copy-pasted code.
Info + registration:
https://datasharpacademy.com/workshop-rfundamentals/
Do you ever do “ostrich data analysis” – avoiding your messy scripts because opening them feels worse than not knowing?
Your analysis will not fix itself. What you need are a few solid habits and some guided practice.
My workshop R Fundamentals for Data Science (26–29 Jan 2026) and my Sharp Under Pressure newsletter are built for that.
Workshop: datasharpacademy.com/workshop-rfundamentals/
Newsletter: https://datasharpacademy.com/newsletter?utm_source=mastodon&utm_campaign=newsletter
Data will shape your career whether you like it or not. Are you in the driver’s seat, or sitting in the back hoping someone else’s analysis is right?
My live online workshop R Fundamentals for Data Science is built to put you in control: four days, small group, real messy data, clear and reproducible workflows in R with AI as a helper, not a replacement.
Next edition: 26–29 Jan 2026 (CET).
Info & registration: datasharpacademy.com/workshop-rfundamentals/
Stop thinking data analysis is “not for you”.
Every confident analyst started clueless, made mistakes, and figured things out.
Ready to move forward?
🧑💻 R Fundamentals for Data Science – 26–29 Jan 2026, live online.
Details: https://datasharpacademy.com/workshop-rfundamentals/
Prefer a softer pace? My R newsletter Sharp Under Pressure shares simple tips:
https://datasharpacademy.com/newsletter?utm_source=mastodon&utm_campaign=newsletter
Most people only decide to “get serious” about R when it’s already late: thesis due, revisions requested, project review next week.
That’s the worst time to build core skills. Data confidence is built before the crisis, with small, regular steps, while things are still calm enough to think.
If you know R and reproducible workflows are in your future, start TODAY.
datasharpacademy.com/workshop-rfu...
Where else can you chat with the teacher 4 weeks after training?
Everything works during the class, but the weirdest bugs happen once you’re on your own. 😵💫 That’s why my @DataSharp workshops include a 4-week window of unlimited Q&A.
Learning is a journey that takes time and a few detours—it’s much richer when you aren't walking it alone. 🦖
📬 Join the "Sharp Under Pressure" newsletter: https://datasharpacademy.com/newsletter?utm_source=mastodon&utm_campaign=newsletter
🎯 I’m 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: https://www.linkedin.com/feed/update/urn:li:activity:7406227516732043264/
🎯 Where did your R journey begin? I’m always curious how people first got into R. Was it through plotting? Analysing data? A specific package? Or something totally different? I put together a quick poll. Feel free to vote, share, or drop a comment with your story. 👇 Let’s see what the most common “entry gate” is these days. -- 📬 𝗦𝗵𝗮𝗿𝗽 𝗨𝗻𝗱𝗲𝗿 𝗣𝗿𝗲𝘀𝘀𝘂𝗿𝗲: my monthly newsletter for data learners who want clarity and confidence in R. 🦖 Sign up: https://lnkd.in/dDt9RiBU
Learning to code is like learning a new language.
At first you repeat useful phrases: “make a barplot”, “clean this column”, “count the rows”. It works – until you realise you’re stuck and can’t say anything new without copying.
Code only becomes yours when you start to read it like text: vocabulary, grammar and meaning. Line by line.
If you’d like gentle, language-style practice with R, my monthly newsletter Sharp Under Pressure can help:
https://datasharpacademy.com/newsletter?utm_source=mastodon&utm_campaign=newsletter
📬 Subscribe to my Newsletter Sharp Under Pressure, and get 15% off my next workshop:
🧑💻 R Fundamentals for Data Science
📆 26–29 January 2026 (live & online)
In addition, you'll get monthly emails to:
• Make tricky R concepts clearer
• Learn practical tips and tools
• Build skills with more structure
• Get early bird pricing and key updates
🦖 Calm, helpful and straight to the point — like my workshops.
📥 Subscribe: https://datasharpacademy.com/newsletter?utm_source=mastodon&utm_campaign=newsletter
📨 First issue lands next week.
Want a gentler pace?
📬 Sharp Under Pressure is my monthly newsletter for data learners who want clarity and confidence in R.
Sign up:
https://datasharpacademy.com/newsletter?utm_source=mastodon&utm_campaign=newsletter
