Statistics.com LMS

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.

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Available courses

TESU DSI 700: Applied Predictive Analytics 031221

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.

Teacher: Ken Strasma

TESU DSI 622: Interactive Data Visualization 031221

Aim of Course:

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

Teacher: Adil Yalcin

TESU DSI 611: Natural Language Processing: 2 031221

Aim of Course:

The aim of this course is to teach R Programming to those with little or no programming knowledge or experience.

Teacher: Dipanjan Sarkar

TESU DSI 608: R Programming Intermediate 031221

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.

Teacher: Hongcheng Li

TESU DSI 605: PA 2 - Neural Nets and Regression: R 031221

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.

Teacher: Kuber Deokar
Teacher: Inbal Yahav

TESU DSI 602: PA 2 - Neural Nets and Regression: Python 031221

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.

Teacher: Peter Gedeck

TESU DSI 530: SQL-Introduction to Database Queries 031221

Aim of Course:

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

Teacher: Ben Baumer

TESU DSI 511: Introduction to Network Analysis 031221

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.