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47 Short courses in Statistics in Europe

Mathematics
Oxford Summer Courses – Mathematics introduces students to how mathematical thinking explains patterns, logic, and problem-solving. Explore key mathematical ideas through discussion-led learning in small groups while studying Mathematics in Oxford.

On Agriculture, Forest and Environmental Geodata Statistical Analysis, Modelling and Machine Learning [SAFEST]
This On Agriculture, Forest and Environmental Geodata Statistical Analysis, Modelling and Machine Learning [SAFEST] provides theoretical and practical teaching on statistical methods and tools for geodata handling and analysis, with special emphasis to soil traits, crop yield or plant biomass in agricultural, forest and other land uses under variable management and environmental conditions.
Understanding and Applying Regression Models
Become confident in using multivariable regression techniques to analyse a wide variety of health research data and answer specific research questions with this Understanding and Applying Regression Models course at the University of Aberdeen.
Probability and Statistics for Economics and Econometrics
London School of Economics and Political Science's Probability and Statistics for Economics and Econometrics course provides a precise and accurate treatment of probability, distribution theory and statistical inference.
Statistics and Research Methods - an Introduction (Online, Self Paced)
UCL's Statistics and Research Methods - an Introduction (Online, Self Paced) online, self-paced course will give you a comprehensive introduction to research methods and statistics.
Introduction to Statistics - Understanding the World through Data
London School of Economics and Political Science's Introduction to Statistics - Understanding the World through Data is an introductory course on statistics and how it can help us answer the kind of questions that arise when we want to better understand the world.
Statistical Methods for Risk Prediction and Prognostic Models
The Statistical Methods for Risk Prediction and Prognostic Models (Online) course from the University of Birmingham provides a thorough foundation of statistical methods for developing and validating risk prediction and prognostic models in healthcare research.
Statistical analysis with missing data
Through computer practicals using Stata, participants of the Statistical analysis with missing data course offered by London School of Hygiene and Tropical Medicine will learn how to apply the statistical methods introduced in the course to realistic datasets.
Advanced Statistical Methods
The Advanced Statistical Methods programme from the University of Birmingham will enable you to develop your understanding of the statistical basis of generalised linear modelling (GLM) and its application in different situations, including the GLM regression output from more complex data analysis methods.
Sample Size Estimation and Power Calculations with Excel
UCL's Sample Size Estimation and Power Calculations with Excel short course covers the basics of sample-size estimation, including both precision and power estimation approaches.
Introduction to Hospital Episode Statistics
Hospital Episode Statistics (HES) is the national hospital admission database for England, which is increasingly being used for research, clinical outcomes monitoring, and public health and service planning. UCL offers the Introduction to Hospital Episode Statistics programme.
Qualitative Interviewing and Analysis Using MAXQDA
The Qualitative Interviewing and Analysis Using MAXQDA course from University of Essex is designed to equip participants with the skills and confidence to conduct their own research projects using qualitative interviews and then to analyse the resultant data using the software programme MAXQDA.
Introduction to Multilevel and Mixed Effects Models using R
This Introduction to Multilevel and Mixed Effects Models using R course at Nottingham Trent University offers a thorough, hands-on introduction to working with R and RStudio, which is the most widely used integrated development environment for R.
Introduction to Generalised Linear Models in R
This Introduction to Generalised Linear Models in R course at Nottingham Trent University offers a practical introduction to GLMs, equipping you with the knowledge and confidence to apply these models effectively.
Introduction to Statistics
The Introduction to Statistics course from Utrecht University will provide you with a basic understanding of statistics. Geared towards people studying and working in the health domain, the course will enable you to interpret research data, and to explain and use different types of variables.
Statistics for Medical Engineering
The main goal of KTH Royal Institute of Technology's Statistics for Medical Engineering course is training medical engineering students in making sound quantitative statistical analysis in their field of study.
Observation Theory - Estimating the Unknown
This Observation Theory - Estimating the Unknown at Delft University of Technology (TU Delft) is the course that teaches you how to find the best estimates of the unknown parameters from noisy observations. You will also learn how to assess the quality of your results.
Applied Statistical Modelling
The Applied Statistical Modelling programme is offered by The Open University UK.
Applied Statistics using R - Analysing Medical Data
R is a free, open-source software for statistical computing and graphics. In University of Basel's Applied Statistics using R - Analysing Medical Data course, you will learn the programming techniques to make the most of this powerful tool for processing, analysing and presenting your data.
Statistics with R and RStudio
The Statistics with R and RStudio course from UCL Summer School introduces statistics and the free software R/RStudio to you with no previous knowledge of mathematics beyond high school level.