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141 Part-time Short courses in Statistics

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).

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 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 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.
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 - 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.
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.
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.
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.
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.
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!
Inference for Linear Regression in R
In this Inference for Linear Regression in R course offered by Data Camp you will learn how to perform inference using linear models.
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.
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.
Introduction to Network Analysis in Python
This Introduction to Network Analysis in Python course offered by Data Camp will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
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.
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.
Survival Analysis in R
In this Survival Analysis in R course offered by Data Camp you will learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models
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.