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This online course gives an introduction to data and their analysis and interpretation.

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...

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

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

This course is an introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

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 online course gives an introduction to the basic data and statistical techniques that underpin data analysis in finance.

This online course gives an introduction to probability and statistics. The course is designed for beginners with some knowledge of high-school algebra.

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 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 gives a basic introduction to macroeconomics. It explores basic economic concepts, major macroeconomic statistics, and how monetary and fiscal policy can be...

This Applied Biostatistics course provides an introduction to important topics in medical statistical concepts and reasoning. Each topic will be introduced with examples from...

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 probabilistic models, including random processes and the basic elements of statistical inference.

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 online course covers the basics of R: a free programming language and software environment used for statistical computing and graphics.

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 online course gives an introduction to the essential concepts, tools, and methods needed to compile macroeconomic data.

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