- Home
- Programmes
- Statistics
169 Short courses in Statistics

Foundations of Private and Fair Statistics (Internship)
The Foundations of Private and Fair Statistics (Internship) project at King Abdullah University of Science and Technology (KAUST) will explore basic statistical model or problems for different types of data in the differential privacy or fairness model.

Statistical Methods for Generative Modeling (Internship)
The Statistical Methods for Generative Modeling (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to explore generative models based on Generative Adversarial Networks (GANs) and Normalizing Flows (NFs).

Statistical Models Based on Stochastic Partial Differential Equations (Internship)
The aim of this Statistical Models Based on Stochastic Partial Differential Equations (Internship) project from King Abdullah University of Science and Technology (KAUST) is to implement and compare these models for applications to longitudinal medical data and spatial environmental data.

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.

Statistical Inference for High Dimensional Models with Applications to Imaging Genetics (Internship)
The aim of this Statistical Inference for High Dimensional Models with Applications to Imaging Genetics (Internship) project from King Abdullah University of Science and Technology (KAUST) is to develop statistical inference for high-dimensional models.

Scalable Bayesian Inference for Structural Equation Models (Internship)
This Scalable Bayesian Inference for Structural Equation Models (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to equip latent structural equation models with a powerful and highly efficient Bayesian inference engine called INLA.

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.
Data Science - Linear Regression
EdX is an online learning platform trusted by over 12 million users offering the Data Science - Linear Regression Certificate in collaboration with Harvard University - HarvardX. Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
Data Science - Visualization
EdX is an online learning platform trusted by over 12 million users offering the Data Science - Visualization Certificate in collaboration with Harvard University - HarvardX. Learn basic data visualization principles and how to apply them using ggplot2.
Data Science - Probability
EdX is an online learning platform trusted by over 12 million users offering the Data Science - Probability Certificate in collaboration with Harvard University - HarvardX. Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.
Fundamentals of Statistics
EdX is an online learning platform trusted by over 12 million users offering the Fundamentals of Statistics course in collaboration with Massachusetts Institute of Technology - MITx.
Qualitative Research Methods
The Qualitative Research Methods course offered by Coursera in partnership with University of Amsterdam is part of the Methods and Statistics in Social Sciences Specialization.
Elementary Statistics
With the Elementary Statistics course of Boston University you learn basic concepts of estimation and tests of hypotheses, ideas from probability; one-, two-, and multiple-sample problems.
ChIP-seq with Bioconductor in R
In this ChIP-seq with Bioconductor in R course offered by Data Camp you will learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
Statistical Inference in R
In this Statistical Inference in R course offered by Data Camp you will learn a core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.
Introduction to Bioconductor in R
In this Introduction to Bioconductor in R course offered by Data Camp you will learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Practicing Statistics Interview Questions in R
In this Practicing Statistics Interview Questions in R course offered by Data Camp you will prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
Probability Puzzles in R
In this Probability Puzzles in R course offered by Data Camp you will learn strategies for answering probability questions in R by solving a variety of probability puzzles.
Foundations of Probability in Python
In this Foundations of Probability in Python course offered by Data Camp you will learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.
Modeling with Data in the Tidyverse
In this Modeling with Data in the Tidyverse course offered by Data Camp you will learn discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.