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We help students, researchers, and professionals working in Statistics & Data Science to reach their academic and professional goals.
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Best PGDM College In Hyderabad - ICBM School Of Business Excellence
ICBM-School Of Business Excellence is the center of excellence in management education. Our Best PGDM College in Hyderabad offers Triple Specialization To Our PGDM Students who are looking for Best B School in Hyderabad, India. We offer...
Health Data Science MSc - 2021 Entry
Deep statistical thinking combined with expertise in health and computer science is becoming increasingly fundamental in tackling public health problems across the world. The MSc in Health Data Science will equip you with advanced technical skills wh...
Master's Program in Data Science
The digital revolution brings an explosion of data with significant value for businesses, science, and society. As data becomes larger and more complex, extracting useful quantitative insights becomes more challenging. The Barcelona GSE Master's Prog...
Python for Data Visualisation
Python has a number of packages for the effective creation of graphics to communicate your data insights. This one day course will examine a range of packages for building impactful visualisations. During the training session, we’ll cover the main Py...
Getting to Grips with the Tidyverse
The tidyverse is essential for any data scientist who deals with data on a day-to-day basis. By focusing on small key tasks, the tidyverse suite of packages removes the pain of data manipulation. The tidyverse allows you to import, tidy, transform, m...
Next Steps in the Tidyverse
The tidyverse is essential for any statistician or data scientist who deals with data on a day-to-day basis. By focusing on small key tasks, the tidyverse suite of packages removes the pain of data manipulation. This course takes the next steps in us...
Introduction to Bayesian Inference using RStan
Despite the promise of big data, inferences are often limited by its systematic structure. Only by carefully modelling this structure can we take full advantage of the data. Stan is a platform for facilitating this modelling, providing an expressive ...
Introduction to Bayesian Inference using PyStan
Despite the promise of big data, inferences are often limited by its systematic structure. Only by carefully modelling this structure can we take full advantage of the data. Stan is a platform for facilitating this modelling, providing an expressive ...
Statistical Modelling with R
From the very beginning, R was designed for statistical modelling. Out of the box, R makes standard statistical techniques easy. This course covers the fundamental modelling techniques. We begin the day by revising hypotheses tests, before moving ont...
MSc Health Data Science
The Health Data Science MSc at London School of Hygiene and Tropical Medicine (LSHTM) has six studentships for the coming academic year thanks to the support of Health Data Research UK (HDR UK)Three awards will cover: - Tuition fees at the Home (UK) ...
Conservation Genomics
Dates: 27th-30th September 2021 Due to the COVID-19 outbreak, this course will be held online Overview This course will introduce biologists to how the tools of population genomics can be used to inform conservation. The instructors will guide stude...
MSc in Statistics and Global MSc in Statistics
We look forward to hearing from students to join our MSc in Statistics programmes in the academic year 2021-2022. The MSc in Statistics programmes provide outstanding training both in theoretical and applied statistics.Statistics is a dynamic and t...
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...
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...
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 ...
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...
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...
Advanced Graphics with R
This is a one-day intensive course on advanced graphics with R. The standard plotting commands in R are known as the base graphics, but are starting to show their age. In this course, we cover more advanced graphics packages - in particular, {ggplot2...
Python and Tensorflow
Deep learning is a cutting-edge machine learning technique for classification and regression. In the past few years, it has produced state-of-the-art results in fields such as image classification, natural language processing, bioinformatics and robo...
Programming with Python
The benefit of using a programming language such as Python 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 understan...
Introduction to Python
This is a one-day intensive course on Python and assumes no prior knowledge. By the end of the course, participants will be able to import, summarise and plot their data. At each step, we avoid using “magic code”, and stress the importance of underst...
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...
Best Practices with R
So you can write code? Great. But can you write code which is easy to read, simple to maintain, and reproducible? Under the pressure of deadlines even the best of us can fall victim to bad-practices. In this course we motivate the importance of good-...
Introduction to Bayesian Inference
The capturing and quantification of uncertainty is a very important aspect of model-fitting and parameter inference. Bayesian inference represents a fully-probabilistic approach to parameter inference, allowing a practitioner to quantify their uncert...
