Statcourse.com

1845 Lake St

Huntington Beach CA 92648

714/465-9732

courses@statcourse.com 

 

Statcourse.com

Online and at Your Site;  Professional Development in Statistics

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

On-Site Course List

Introduction to R.

Resampling Methods

 

On-Line Course List

Analyzing Large Numbers of Variables

Beginning Statistics

Clinical Trials

Consulting for Attorneys

Effective Graphics

Introduction to R

Modeling with R

Using R

Quality Control

Resampling Methods

Sample Size Determination

Time Series Analysis

Video Lecture. Permutation Methods: View Now!!

 

Order today 

A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling

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The A-Z of Error-Free Research Using R

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Would you like to teach for statcourse.com?  You must have practical experience as part of your thorough knowledge of your subject!  The course you hope to teach must be of interest to working statisticians.  Still interested?  For details, write to dodie@statcourse.com 

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. $5600.

Research Methods. Two Days. Up to 24 students. $5600.  Emphasis tailored to your needs. 
Resampling Methods: Bootstrap, CART, and Permutation. Two Days. Up to 24 students. Tailored to your industry. $5600. 

On-Line Course List

Interactive On-Line Courses. Participate from office or home at your leisure. Ask questions, discuss difficulties, and make comments 24/7 via the on-line discussion board. Get bogged down by work during the middle of one of our courses?  No charge for taking the course again at a later date!  Click on course name for additional information.  

 Students, faculty, and research workers at academic institutions are eligible for a $35 discount per course.   Write courses@statcourse.com to obtain this discount.

The A through Z of Error Free Research Using R.  Research methods for those who need publish or perish. Four lessons in four weeks take you from hypothesis formulation through experimental design, data collection, quality control, data analysis, to the preparation of reports. Course participants are welcome to submit their own research projects for guidance.  Begins April 4th 2014. Cost $299.

Analyzing Large Numbers of VariablesMicroarrays, EEG's, MRI's fMRI's.  This four-week course will show you how to analyze data with large numbers of variables most effectively and introduce you to the software that can do the job.  Emphasis on the use of the bootstrap, decision trees, and permutation tests. Begins  7th March 2014. $345.

Business Analytics.  This four-week course will provide you with the analytics you need to do market research and sales analyses to improve profitability and expand business.  Employees and managers from small companies are particularly welcome, as this course introduces concepts and practices used by large companies and multinationals. You'll be shown how to implement analytics even with a relatively small budget and training time.   Begins 7th March 2014. $495. Additional enrollees from the same firm are only $395. Early-bird discount of $90 if you enroll on or before February 25th.

Creating Effective Graphic PresentationsThis 2-week course will show you how to use R to create more effective graphic presentations, both static and dynamic. Begins April 4th 2014. $165. Government employees, students, faculty and research workers at academic and research institutions are eligible for a further discount of $35. 

Introduction to R.  When you complete the three lessons in three weeks starting 7 March 2014, you will be able to enter and analyze your own  data. Instructor guides you each step of the way responding to questions you post on the online discussion board.  $199. 

Consulting for Attorneys.  This one-week course shows you how to be more effective in providing expert-witness support for attorneys. Begins June 15th 2014. Cost $165,

Statistics for Quality Control.  A must for anyone with QC or PC responsibilities. Tentatively scheduled to begin July 16th 2014.  Write courses@statcourse.com for additional information.

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

Sample Size Determination  Three lessons in three weeks. Whether you plan to compare measurements resulting from two treatments or four, analyze binomial and Poisson trials, this course, or conduct short term or longitudinal studies, this course has the information you’ll need.  Course participants are welcome to submit their own research projects for guidance.  Begins March 7th 2014.  Cost $229.   

Statistics by Example is tailored to you the course participant. Whatever your field of interest--anthropology, archeology, chemical engineering, computer science, or sociology our knowledgeable instructors will introduce statistical concepts to you using examples specific to your profession. Via an open discussion board, the instructor walks you through an analysis of data you provide. Three lessons in three weeks.   "It's like having a private tutor," writes one student. Begins March 7th 2014.

Modeling with R.  Three lessons in three weeks. Begins April 4th 2014.  Build and validate OLS, EIV, QR, and cTree models. $229.  A $50 discount for students, faculty, and research workers at academic institutions. Write courses@statcourse.com to obtain this discount. 

Meta-Analysis Using R Three lessons in three weeks. Begins 15 June 2014.  Combine data from multiple studies. Fixed- effects and random-effects meta-analysis models. Identifying publication bias. R packages "rmeta" and "meta" will be introduced for the step-by-step implementation with "forest" and "funnel" plots. $299 per participant. 

Clinical Trial Analysis Using R.   Three lessons in three weeks. Begins May 14th  2014. Use R to analyze treatment comparison, treatment comparison with covariates, cross-over designs, time-to-event endpoints and longitudinal structures. $299 per participant.  ($259 for each additional person at the same firm, institution or government office.)  

Manager's Guide to Design and Conduct of Clinical Trials.  Four lessons in four weeks. Guidelines, Design, Monitoring, Analysis. Begins 11 April 2014,  $345 per participant.  ($250 for each additional person at the same firm, institution or government office.)  $295 if you register before 1st July.

How would you test for a correlation greater than 0.8?   What's a confidence interval for the 40th percentile?  What’s the best way to illustrate relative importance of factors to a judge? Take Applications of Bootstrap, Decision Trees and Permutation Methods. Begins April 11th 2014.  $229.  

      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."

 

Ask about multi-participant and multi-course discounts.
For inquiries about any of our courses, contact 714/465-9732 or courses@statcourse.com.

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.

Refund Policy: Up until one-week prior to the start of a course, a refund of the fee paid less $50 will be provided on request.  Although there are no refunds after that date, a course participant may enroll without charge the next time the course is offered.

 

Coming Up 

 Students, faculty, and research workers at academic or government institutions and the self-employed are eligible for a $35 discount for most courses.   Write courses@statcourse.com to obtain this discount.

Introduction to R.  When you complete the three lessons in three weeks starting 7 March 2014, you will be able to enter and analyze your own  data. Instructor guides you each step of the way responding to questions you post on the online discussion board.  $199.

Sample Size Determination  Three lessons in three weeks. Whether you plan to compare measurements resulting from two treatments or four, analyze binomial and Poisson trials, this course, or conduct short term or longitudinal studies, this course has the information you’ll need.  Course participants are welcome to submit their own research projects for guidance.  Begins March 7th 2014.  Cost $229.     

Creating Effective Graphic PresentationsThis 2-week course will show you how to use R to create more effective graphic presentations, both static and dynamic. Begins April 4th 2014. $165. Government employees, students, faculty and research workers at academic and research institutions are eligible for a further discount of $35. 

Modeling with R.  Three lessons in three weeks. Begins April 4th 2014.  Build and validate OLS, EIV, QR, and cTree models. $229.  A $50 discount for students, faculty, and research workers at academic institutions. Write courses@statcourse.com to obtain this discount. 

Analyzing Large Numbers of VariablesMicroarrays, EEG's, MRI's fMRI's.  This four-week course will show you how to analyze data with large numbers of variables most effectively and introduce you to the software that can do the job.  Emphasis on the use of the bootstrap, decision trees, and permutation tests. Begins  7th March 2014. $345.

 

 

 

 

 

 

 

Useful Sites

 

 
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