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This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. Participants will learn to use Bayes’...

This course introduces techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.

The purpose of this course is to help students develop a functional, satisfying, and useful life-long relationship with statistics. To achieve that goal, students will learn how...

This online course explores probabilistic models, including random processes and the basic elements of statistical inference.

This online course (MOOC) teaches the basics of statistics.It includes the following topics :Descriptive statistics, i.e. how to describe data: central tendency (mean, median),...

This course is an introduction to probabilistic models, including random processes and the basic elements of statistical inference.

This course introduces simple and multiple linear regression models. These models allow learners to assess the relationship between variables in a data set and a continuous...

This online course explores the fundamental principles underpinning statistics. It is aimed at those with some prior knowledge of statistics and covers topics such as parametric...

This MOOC introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data.

This online course helps to understand Business Statistics. It begins with the notion of descriptive statistics, which is summarizing data using a few numbers.

This course covers research methods, design and statistical analysis for social science research questions.

This online course gives an introduction to basic probability concepts. It also explores applications in science and engineering, with the goal of enhancing modeling and...