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This course discusses the computational approach in modern physics in a clear yet accessible way. Individual modules contain in-depth discussions of algorithms ranging from...

This course is an introduction to inferential statistics, which are concerned with making inferences based on relations found in the sample, to relations in the population....

This online course (MOOC) explores the basics of Machine Learning.The Stanford course provides a broad introduction to machine learning, datamining, and statistical pattern...

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

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 covers the essential exploratory techniques for summarizing data. It will cover in detail the plotting systems in R as well as some of the basic principles of...

This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a...

This online course gives a first introduction to Data Science.  It includes an overview of the following topics:Data ManipulationData Analysis with Statistics and Machine...

This online course gives an introduction to descriptive statistics. It teaches the basic concepts used to describe data. (Note: There is a further course by Udacity teaching...

This online course gives an introduction to inferential statistics. It teaches the basic concepts used to draw conclusions from data that might not be immediately obvious. The...

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 gives an introduction to statistics, i.e. objective and systematic methods for describing and interpreting information.It includes topics such as:Describing...

This course is an introduction to the discipline of statistics as a science of understanding and analyzing data. Students will learn how to effectively make use of data in the...

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

This course introduces learners to sampling and exploring data, as well as basic probability theory and Bayes' rule. Participants will examine various types of sampling methods,...

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

In this first part of a two part course, students will walk through the basics of statistical thinking – starting with an interesting question. Then, they will learn the...

This statistics course introduces some of the key ideas and methods of statistics, the discipline that allows us to analyse and interpret the data that underpins modern society....