WHAT STUDENTS SAY

Comments from participants in statistics.com online courses

"I look forward to taking another course on statistics.com - a great way to continue learning in a structured manner, but flexible enough to participate while Life continues." B. Berg, AMPS Intl.

"Dr Borenstein has revealed new aspects of sample size & power testing that are different to the conventional knowledge taught in University. This class certainly has helped immensely in my research, and assists in writing my publications. Thank you for the knowledge and experience in statistics, and look forward to participate in more classes at statistics.com." Q. Nguyen, University New South Wales

"I really enjoyed this course and like the instructor. The discussion board provides a valuable venue to discuss questions and clarify doubts. The instructor's feedback is prompt and helpful. I not only got my questions answered but also learned a lot from other's questions." R. Yang, Purdue University

"Web forums are excellent." S. Clark, Glaxko Smith Kline

"Interaction with the instructor was good - he encouraged questions and they were answered quickly and professionally." J. Johnston, Colorado State University

"Good value for the money. Thank you very much for a thought- provoking course" J. Politch, Harvard

"I found the course to be a valuable introduction to resampling and bootstrapping methods. I am recommending this course to colleagues. Thanks for an engaging and informative course." J. Thomas, Pacific University

"Considering all of the material that needed to be covered, I thought the course was well written and thought provoking." P. Anderson, Albion College

"The course was an interesting and delightful excursion into data mining techniques; I thoroughly enjoyed seeing the concepts come to life in the examples. It was a great course." B. Griffin, University of South Dakota

"This course could serve as a model in the field." G. Vidmar, Biostatistician, University of Ljubljana

"The course was very good and well presented. The material in the notes was self-explanatory for a non-technical person, and the supplementary book provided good reading for the person who is interested in more technical details." Gichangi, Dept. of Statistics, Univ. of Southern Denmark (doctoral student)

"I have been telling people about the course. I think you are doing a great job!" Horowitz, Hartford Hospital, Hartford, CT, USA

"I liked the course and got a lot out of it." Prof. Sherrill, Univ. of Arizona

The courses represented here include "Resampling Methods", "Data Mining", "Generalized Estimating Equations", and "Introduction to Statistics via Applications".