StatisticsOnline.Info
Online and OnSite;  Professional Development in Statistics

Our instructors are top experts in their fields, who have published leading books in these fields. Our courses offer a unique opportunity to interact with these experts at your site or on the Internet. Click on any of the links below to get more information about a specific course.


Actively Enrolling:  Modeling with R.  Three lessons in three weeks. 18 July -11 Aug  2008.   OLS, EIV, QR, and CART plus validation. $300. Early Bird (by 5 July) discount of $75.  A further $50 discount for students, faculty, and research workers at academic institutions.

How would you test for correlation greater than 0.8?   What's a confidence interval for the 40th percentile?  Take Applications of Bootstrap, CART and Permutation Methods to find out.  18 July-8 August, 2008.  $324.  ($254 for students, faculty, and research workers at academic institutions.)  Plus Early Bird (before July 5th) discount of $50.

Here's what a participant in our last session had to say, "This has been a very great course. I'm most glad having attended it. I learned a lot. Understood the difference between bootstrap and permutation. The assignments were very challenging and instructive yet just difficult enough not to discourage the beginner. I had a glimpse on the problem of type II errors. And, ice on the cake, I received precious pointers giving new insight into a work in progress. Heartfelt thanks."

 

On-Site Course List

Hands-on workshops at your location. Click on course name for additional information.
Introduction to R. Two Days. Up to 24 students. $5000.
Resampling Methods: Bootstrap and Permutation. Two Days. Up to 24 students. $5000. Can be tailored to your industry.

On-Line Course List

Interactive On-Line Courses. Participate from office or home at your leisure. Ask questions, discuss difficulties, and make comments via the on-line discussion board. The use of pseudonyms when participating ensures anonymity for the questioner. Click on course name for additional information.

Statistics for Quality Control.  A must for anyone with QC or PC responsibilities.  Write courses@statisticsonline.info for additional information.

Time Series Analysis.  Need to forecast part sales, epidemics, or demand for your product?    Write courses@statisticsonline.info for additional information.

Introduction to R.  Three lessons in three weeks. R has more functions than any other statistics language, plus a world-wide user base. $304.  (Discount of $50 for students, faculty, and research workers at academic institutions.)  Write courses@statisticsonline.info for dates of our next offering. 

Learn Statistics Through Applications.  An easy introduction to the basic concepts of statistics. Three lessons in three Weeks.  August 8th - August 31st, 2008. $245. Early Bird (before July 31st) discount of $50.  

Modeling with R.  Three lessons in three weeks. 18 July -11 Aug  2008.   OLS, EIV, QR, and CART plus validation. $300. Early Bird (by 30 June) discount of $75.  A further $50 discount for students, faculty, and research workers at academic institutions.

Applications of Bootstrap, CART and Permutation Methods.  Three lessons in three weeks.  18 July-8 August, 2008.  $324.  ($254 for students, faculty, and research workers at academic institutions.)  Plus Early Bird (before July 5th) discount of $50.

Sample Size Determination  Three lessons in three weeks.   12 September to 3 October 2008.  Cost $299 or $249 if you register early.   Students, faculty and research workers at academic institutions are eligible for a further $50 discount.   

Write courses@statisticsonline.info to obtain discounts.

Ask about multi-participant discounts.
For inquiries about any of our courses, contact 714/960-8070 or courses@statisticsonline.info.

Do you have suggestions for a new course or comments on an existing one?  Or questions on statistics in general.  Click here to post your comments.

 

Links to recent articles 

The Comedy of Consulting

Comparing Variances

Comparison of the Bootstrap and the Permutation test

The Use and Misuse of Permutation Tests

The Analysis of Crossover Designs

The Inflationary Universe

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