The Institute for Statistics Education at             Statistics.com

is the leading provider of online education in statistics.
We offer 100+ courses in introductory and advanced statistical subjects.
Students from around the world study with leading authorities via private discussion boards
on flexible schedules.
Teaching assistants provide individual responses in practical exercises.
Statistics.com confers CEU's, Records of Completion, and Certificates in advanced statistical study.

    Cursos disponibles

    Aim of Course:

    This course covers how to read, understand, manipulate, and use data. There is no prerequisite knowledge for this course, but it does require access to Excel.

    Aim of Course:

    This course shell holds an assessment test for Church & Dwight Data Analytics Training program.

    Aim of Course:

    This course will explain the theory of generalized linear models (GLM), outline the algorithms used for GLM estimation, and explain how to determine which algorithm to use for a given data analysis.

    Aim of Course:

    This course will teach you how to build and monitor a machine learning pipeline, given a predictive model that has been provided by a data science team.

    Aim of Course:


    This course will explain the basic theory of linear and non-linear mixed effects models, including hierarchical linear models. It will outline the algorithms used for estimation, primarily for models involving normally distributed errors, and will provide examples of data analysis. The course aims at providing a basic understanding and knowledge of the mixed effect models that will allow you to use them in practice.

    Aim of Course:


    This course covers the analysis of data gathered in surveys.

    Aim of Course:

    This course covers the basic theory and application of the bootstrap family of procedures, with the emphasis on applications.

    Aim of Course:

    This course describes the various methods used for modeling and evaluating survival data, also called time-to-event data.

    Aim of Course:

    After taking this course, you will be able to install and run rjags, a program for Bayesian analysis within R.  Using R and rjags, you will learn how to specify and run Bayesian modeling procedures using regression models for continuous, count and categorical data.

    Aim of Course:

    This course covers how to apply linear programming to complex systems to make better decisions – decisions that increase revenue, decrease costs, or improve efficiency of operations.