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

    Aim of Course:


    This course will explain meta analysis - the methods that are used to assess multiple statistical studies on the same subject and draw conclusions.

    Aim of Course:

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

    Aim of Course:

    This course is designed to give you an introduction to the algorithms, techniques and software used in natural language processing (NLP).

    Aim of Course:

    This course will teach users how to implement spatial statistical analysis procedures using R software. Topics covered include point pattern analysis, identifying clusters, measures of spatial association, geographically weighted regression and surface processing.

    Aim of Course:

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

    Aim of Course:

    In this online course, "Programming 2:Python," you'll learn everything you need to get you started using Python for data analysis.  We'll review basic Python skills and data structures, move on to how to load data from different sources, rearrange and aggregate it, and finally how to analyze and visualize it to create high-quality products.

    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.

    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.

    Aim of Course:

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

    Aim of Course:

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