Master's and PhD Programs, Summer Schools, Professional Training, Jobs, Conferences and Scholarships
We help students, researchers, and professionals working in Statistics & Data Science to reach their academic and professional goals.
Latest Listings
Quantitative & Statistical Trading Programme
Salary: Competitive Type of opportunity: Graduate Job/scheme locations: Various, UK At bp, our purpose is reimagining energy for people and our planet. We want to help the world reach net zero – that’s why we’re reducing our emissions, scaling up ren...
Various, UK
Graduate Statistician / Data Scientist / Data Analyst
Job title(s): Graduate Statistician or Data Scientist or Data Analyst Company: Simetrica-Jacobs (www.simetrica.co.uk) Location: London, United Kingdom Hours: Full time or part time (minimum 80% FTE) Salary: £27,500pa plus employee benefits Visa stat...
London, United Kingdom
DSSV-ECDA 2021
Data Science, Statistics & Visualisation (DSSV) and the European Conference on Data Analysis (ECDA) are a joint virtual conference aimed at bringing together researchers and practitioners interested in the interplay of statistics, computer scienc...
Webinar: The Digital Economy Act and DEA Data
This free webinar is organised by the UK Data Service.The Digital Economy Act (DEA) gained Royal Assent on the 27th April 2017 and makes substantial amendments to the Statistics and Registration Service Act (SRSA) 2007. This new legislation provid...
#IdentityInData: Who Counts? Visibility, voice and culture in data collection and use
Representation and inclusivity are central to how populations, communities and individuals are described in data. Definitions of self and identity in data evolve.The UK Data Service brings together some of the most robust and complex quantitative and...
Programming with R
The benefit of using a programming language such as R is that we can automate repetitive tasks. This course covers the fundamental techniques such as functions, for loops and conditional expressions. By the end of this course, you will understand wha...
Scala for Statistical Computing and Data Science
This course is aimed at statisticians and data scientists already familiar with a dynamic programming language (such as R, Python or Octave). Scala is a free modern, powerful, strongly-typed, functional programming language. In particular, it is fast...
Regression Models: A Hands-on Approach using R
OverviewRegression is a powerful technique for studying relationships between quantitative variables. Summarising relationships by the most appropriate equation (modelling) is very quick when using a statistical package. It is also easy to progress f...
Introduction to Bayesian Statistics for Scientists using R
OverviewBayesian statistics have become very popular in recent years. Modern software has made this possible and Bayesian methods are now applied in a wide range of scientific application areas from medicine to ecology. This course provides an introd...
What Sample Size Do I Need? with R
OverviewChoosing an appropriate sample size is a common problem and should be given due consideration in any research proposal, as an inadequate sample size invariably leads to wasted resources. Hence objective sample size determination is increasing...
Introduction to Linear Mixed Models using R
OverviewMixed modelling is a modern and powerful data analysis tool for modelling clustered data, typically used for modelling data collected in trials where the levels of a factor are considered to be a random selection from a wider pool, or in the ...
Survival Analysis for Medical and Health Professionals using R
OverviewSurvival data arise in many medical areas. Examples include time to death after an operation, time to recovery from an accident, and duration of pain relief. One particular aspect of time-to-event data is censoring, where the time to an event...
HTA & Modelling Courses 2021
The Health Economics & Health Technology Assessment (HEHTA) research group at the University of Glasgow is now taking bookings for its 2021 courses.Semester two is extremely popular, so we urge you to book early. We offer discounts for groups, ac...
ANOVA/GLMs with SPSS
23 March 2021–24 March 2021, 9:30 am–1:00 pm This course will introduce delegates to the basic principles of ANOVA, and how to choose, run, interpret, and report a variety of ANOVA models. The course takes a hands-on approach to learning, with SPSS s...
Chi-square and Beyond for 2x2 Tables
17 March 2021–18 March 2021, 9:30 am–1:00 pm This course aims to demystify the range of statistics that can be used to summarise the associations between two binary variables. We move on from the standard chi-square test to investigate other options ...
Introduction to Bayesian Analysis
15 March 2021–16 March 2021, 9:30 am–1:00 pm This course focuses on the principles of Bayesian analysis with the aim to enable participants to apply Bayesian methods on their own research and understand other people's results via Bayesian analysis. N...
Introduction to Dealing with Missing Data
08 March 2021–10 March 2021, 9:30 am–1:00 pm This course looks at the problem of missing data in research studies in detail. Reasons and different types of missing data are discussed as well as bad and good methods of dealing with them. Book Now (Mai...
Git For Me
A one day introduction to Git with RStudio. When working on data analysis projects version control is essential. Even on small projects, tracking the progress of your project’s code-base has many advantages and makes collaboration much easier. Fortun...
