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Registration Information

How to Register

Registering for courses at statistics.com is quick and easy. Generally you are able to register for any course right up until the course start date (unless the course is marked full, when your registration will go on a wait list).

Once you determine which course you want to take, carefully read through the full course description, noting the course level, prerequisites, required text books and/or required software, course start date etc. Then simply click the 'Register Online' link at the bottom of the course description page and follow the familiar 'shopping cart style' registration procedure. Please be accurate when entering your contact details.

When you successfully complete the checkout process, you will receive an email confirmation of your registration. If you do not receive the automatic email confirmation and order number, it means the registration did not go through and your credit card was not charged. Please try your registration again. First clear cookies and history from your browser, and start with a fresh browser window.

You will also receive a personal email message, again confirming your registration in the course. A second email is sent to you one week before the course start date with instructions detailing access to your course.

For answers to many general questions about our courses, please refer to the How Courses Work section of our website.

Be sure to take our Course Tour, which will give you a good idea of how our courses work online.

Want to be notified of future course offering?

What our students say:

“I realized one of my work projects would benefit from deeper statistical analysis, including functions I had a good background in and knew at one time, but I needed to dust the cobwebs off and catch up to changes in the field.” Douglas D. Reimel, Jr.

Douglas Reimel

"I’ve increased my exposure in my department and profession because I have experience with a number of data analysis approaches. I’ve been asked to give guest lectures in other classes on statistical methods and different strategies, and I was asked to present at a national conference." Todd Lewis, Ph.D., Associate ProfessorDepartment of Counseling and Educational DevelopmentSchool of EducationUniversity of North Carolina at Greensboro

Todd Lewis

"We’re trying to make it easier for patients to get their prosthetic arms to do exactly what they want them to do. I’ve applied what I’ve learned through my statistics.com courses, such as Baysian statistics, computing techniques, biostatistics, clinical trials, analysis and sensitivity software, bioavailability, probability distributions, data mining, and designing experiments to map brain impulses to muscle movement, which ultimate...

Patricia Shewokis

“It took me a long time to find just the right program that provides the right mix of applied and theory, but I found the right one at statistics.com. My staff emerges from your training ready to make an impact on the company.” Joseph SommaDirector, Market IntelligenceIndependent Health

Joseph Somma

"Traditionally, reports are designed to summarize data, but they can only tell you what happened. I'm applying data mining algorithms I've learned in my Statistics.com coursework to ask why something happened." Susan StranburgSoftware Developer

Susan Stranburg

"My courses help me look at more complex problems using different approaches to show more interesting aspects of conditions, beyond just tables and charts, more than just sampling or descriptive statistics." Cristobal BazanUnited Nations agency

Cristobal Bazan

I hear IT people complaining that they’re always needing to learn new technology because things in their field evolve and change quickly. The same thing is true in analytics. New techniques are developing rapidly. Robert Wood Director, Advanced Analytics Group, Merkle

Robert Wood

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