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

    Survey Analysis 092520

    Self enrollment

    Aim of Course:

    This course covers the analysis of data gathered in surveys.

    Mixed and Hierarchical Linear Models 092520

    Self enrollment

    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.

    Bayesian Statistics in R 091820

    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.

    Survival Analysis 091820

    Aim of Course:

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

    Statistics 3: Anova and Regression 091820

    Aim of Course:

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

    TESU DSI 700: Applied Predictive Analytics 091120

    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.

    TESU DSI 621: Integer/Nonlinear Programming and Network Flow 091120

    Aim of Course:

    This course will teach you a number of advanced topics in optimization: how to formulate and solve network flow problems; how to model and solve optimization problems; how to deal with multiple objectives in optimization problems, and techniques for handling optimization problems.



    TESU DSI 608: R Programming Intermediate 091120

    Self enrollment

    Aim of Course:

    In this online course, “R Programming Intermediate,” you will be introduced to basic concepts in computer programming via R - it is for those who have had little or no experience in programming.

    NLP Using NLTK 091120

    Aim of Course:

    After taking this course, you will be equipped to introduce natural language processing (NLP) processes into your projects and software applications.

    TESU DSI 606: Predictive Analytics 3 -Dimension Reduction, Clustering, and Association Rules: R 091120

    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