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

    Introduction to Statistical Issues in Clinical Trials 112720

    Self enrollment

    Aim of Course:

    This course covers the basic statistical principles in the design and analysis of randomized controlled trials.

    Maximum Likelihood Estimation 112720

    Self enrollment

    Aim of Course:

    After successfully completing this course, you will understand the role that MLE plays in statistical models, and be able to assess both the advantages and disadvantages of using a maximum likelihood estimate in a particular situation.

    Statistics 1: Probability and Study Design 112720

    Self enrollment

    Aim of Course:

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

    Bayesian Hierarchical and Multi-level Modeling 112020

    Aim of Course:

    This course extends the Bayesian modeling framework to cover hierarchical models, and to add flexibility to standard Bayesian modeling problems.

    Statistics 3: Anova and Regression 112020

    Aim of Course:

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

    TESU DSI 625: Risk Simulation Queuing 111320

    Aim of Course:

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

    TESU DSI 622: Interactive Data Visualization 111320

    Self enrollment

    Aim of Course:

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

    TESU DSI 614: Customer Analytics 111320

    Aim of Course:

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

    TESU DSI 613: Anomaly Detection 111320

    Aim of Course:

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

    TESU DSI 605: PA 2 - Neural Nets and Regression: R 111320

    Aim of Course:

    This course continues the work of Predictive Analytics 1, and introduces you to additional techniques in predictive analytics, also called predictive modeling, the most prevalent form of data mining.

    All courses