Royal Statistical Society

Do you want to get to grips with how to use Python for all your statistical and data analysis needs? Book onto one of our specialised progamming courses to master data analysis in Python 🐍 Statistical modelling in Python, 20 May 2025 ➡️ https://lnkd.in/eVdXUsgZ Introduction to Python, 16 September 2025 ➡️ https://lnkd.in/ePgbveue

We're delighted to announce that author, data-journalist and information designer David McCandless @infobeautiful will deliver the Significance Lecture at the 2025 RSS Conference in Edinburgh in September. https://ow.ly/FrVQ50VBzfE

Earlier this year our climate change task force published its guide on navigating UK official statistics on climate change Here task force member Paul Allin writes for the Royal Meteorological Society (RMetS) on what you can expect from the guide and why relevant, reliable & authoritative data is essential for understanding and tackling climate change Andrew Garrett #Statistics #ClimateChangeData https://lnkd.in/e6fQssag

A massive congratulations to Grace Wahba for winning the 2025 International Prize in Statistics 👏 👏 👏 Grace's work has transformed modern data analysis and machine learning Read more ⤵️

Do you work in UK health and care analytics using data to deliver better outcomes for patients? Why not enter our Florence Nightingale Award supported by The Health Foundation Submit your nomination by 30 April: https://lnkd.in/g_SaYXf

In collaboration with the Bernoulli Society we have opened nominations for the David G. Kendall Award The award for young researchers recognises excellent research in mathematical statistics and probability theory and comes with a €2000 prize grant Submit your nomination by 30 June ➡️ https://lnkd.in/eeZpqFgG

📊 In our submission to the Education Committee’s inquiry into further education and skills, we highlight just how vital statistics and data skills are across a wide range of careers We’re calling for improvements to how these skills are taught in the curriculum so they better reflect how data is used in the workplace and in higher education, and ensure students are equipped for the future. 📘 Read the full submission here: https://lnkd.in/euZeCeuw

Calling all RSS members 📣 Horizon-scanning for real-world topics and trends is one of our strategy priorities and as part of this work we would love to get member feedback on the issues you think are of most importance to the community and where we can have most impact Answer this short set of questions by 27 May ⤵️ https://lnkd.in/eVPjVD84 #RSSFellow #Statistics #DataEvidenceDecisions

We support this statement from the International Statistical Institute highlighting concerns with US government interference in official statistics, particularly in relation to GDP. A strong and independent statistical system is essential for informed policymaking, economic stability, and public trust. High-quality, impartial data allows governments, businesses, and the public to make decisions based on evidence rather than speculation. Ensuring that statistical agencies operate free from political influence helps maintain the integrity, accuracy, and credibility of the information they produce. Actions that undermine statistical independence lower confidence in official data, which has long-term consequences for good governance and public confidence. Any changes to public access to established datasets should be communicated in advance. 

🚨 Reproducibility in Data Science & Deep Learning: Are You Doing It Right? ✅ Our case study, published on RSS Real World Data Science (a new project from the Royal Statistical Society, in partnership with the American Statistical Association - ASA), shows you exactly how to tackle the most common challenges in ML workflows: 🔧 Eliminate OS compatibility issues with Docker 📘 Use Jupyter Notebooks for smooth, collaborative development 🔄 Take control with Git & GitHub for versioning 🎲 Lock in consistent results by setting random seeds correctly ✨ And here’s the kicker: it’s not just a read — it’s fully interactive. You get direct access to the real Jupyter Notebook and GitHub repo to try it out yourself. Whether you’re just starting your #datascience journey or mentoring a team — this guide gives you practical, reproducible skills you can apply today. Davit Svanidze (STAT-UP Statistical Consulting & Data Science), Professor Dr. André Python and Professor Junfen Fu (Zhejiang University), Dr. Christoph Weisser (BASF), Professor Benjamin Säfken (Technische Universität Clausthal), Professor Thomas Kneib (The University of Göttingen). 🔗 Dive in now → https://lnkd.in/eDQ3r8Z4 #datascience #machinelearning #deeplearning #statistics #research #learning #learningbydoing #ailiteracy