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172 Short courses in Statistics

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.

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.

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 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.

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.

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).

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.

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.

Statistical Methods for Causal Inference
This Statistical Methods for Causal Inference course from Vrije Universiteit Amsterdam provides a hands-on introduction to statistical methods for causal inference.
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.
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.
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.
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.
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.
Time Series Analysis in Python
In this Time Series Analysis in Python course offered by Data Camp you will learn the basics of analyzing time series data in Python.
Network Analysis in R
In this Network Analysis in R course offered by Data Camp you will learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.
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!