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.

    Available courses

    TEST Visualization 021221

    Aim of Course:

    This course will show you how to use R to create statistical models and use them to analyze data.

    Predictive Analytics 1 051421

    Aim of Course:

    This course will introduce you to the basic concepts in predictive analytics, also called predictive modeling, the most prevalent form of data mining.

    Predictive Analytics 3 051421

    Aim of Course:

    This course covers key unsupervised learning techniques: association rules, principal components analysis, and clustering. The course will include an integration of supervised and unsupervised learning techniques.

    Sample Size and Power Determination 040921

    Aim of Course:

    This course will offer an introduction to sample size and power analysis and will show how to use it simply and effectively to plan the appropriate sample size for a study.

    Statistics 2: Inference and Association 040921

    Aim of Course:

    This course, the second in a three-course sequence, provides an easy introduction to inference and association through a series of practical applications, based on the resampling/simulation approach.

    Categorical Data Analysis 040221

    Aim of Course:

    This course will cover the analysis of contingency table data (tabular data in which the cell entries represent counts of subjects or items falling into certain categories).

    Statistics 1: Probability and Study Design 040221

    Aim of Course:

    To provide an easy introduction to statistical inference for a single variable.

    Matrix Algebra Review 032621

    Aim of Course:

    This course will provide the basics of vector and matrix algebra and operations necessary to understand multivariate statistical methods, including the notions of the matrix inverse, generalized inverse and eigenvalues and eigenvectors.

    Survey Design 031921

    Aim of Course:

    This course covers the crafting of survey questions, the design of surveys, and different sampling procedures that are used in practice. Longstanding basic principles of survey design are covered, and the impact of the trend toward increased respondent resistance is discussed.

    Statistics 3: Anova and Regression 031921

    Aim of Course:

    To provide an easy introduction to ANOVA and multiple linear regression through a series of practical applications.

    All courses