Corporate Affiliations Consulting About Us Contact Us

Dr. Daniel T. Kaplan

is the DeWitt Wallace professor in the Mathematics, Statistics, and Computer Science Department at Macalester College in Saint Paul, Minnesota where he teaches statistics, applied mathematics, and computational science. He won the annual Excellence in Teaching award at Macalester in 2006 and has received curriculum development grants for this approach to statistical modeling from the Howard Hughes Medical Institute, the Keck Foundation, and the U.S. National Science Foundation.

Education:

MS Engineering Economic Systems, Stanford University

MS Biomedical Physics, Harvard University

PhD Biomedical Physics, Harvard University

Areas of Expertise:

Epidemiology

Statistical Modeling

Applied Mathematics

Publications:

Author, Statistical Modeling: A Fresh Approach (CreateSpace, 2009)

Co-author, Understanding Nonlinear Dynamics (Springer-Verlag, 1995)

Author, Introduction to Scientific Computation and Programming (Brooks-Cole, 2003)

Author, Resampling Statistics in MATLAB (Resampling Stats, Inc., 1999)

Awards:

Macalester College annual “Excellence in Teaching” award, April 2008.

Websites links:
Dr. Daniel T. Kaplan

Courses:
Introduction to Statistical Modeling

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

Site Map Privacy Policy Terms and Conditions