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STATISTICA Training, United States Courses

Here is the schedule and registration information for United States courses.

Schedule

Date(s)

Course Duration Cost Location
June 12, 2012  Introduction to STATISTICA  1 day  $400 Tulsa, OK
June 13, 2012  Basic Statistics  1 day  $400 Tulsa, OK
June 14, 2012  Advanced Statistics  1 day  $400 Tulsa, OK
June 15, 2012  Design of Experiments  1 day  $400 Tulsa, OK
July 17, 2012  Introduction to STATISTICA  1 day  $400 Tulsa, OK
July 18-19, 2012  STATISTICA Data Miner  2 days  $1200 Tulsa, OK
July 20, 2012  STATISTICA Automated Neural Networks  1 day  $400 Tulsa, OK
August 21, 2012  Introduction to STATISTICA  1 day  $400 Tulsa, OK
August 22, 2012  Basic Statistics  1 day  $400 Tulsa, OK
August 23, 2012  Advanced Statistics  1 day  $400 Tulsa, OK
August 24. 2012  Multivariate Analysis  1 day  $400 Tulsa, OK
September 18, 2012  Introduction to STATISTICA  1 day  $400 Tulsa, OK
September 19, 2012  STATISTICA Visual Basic  1 day  $400 Tulsa, OK
September 20, 2012  Statistical Process Control  1 day  $400 Tulsa, OK
September 21, 2012  STATISTICA Enterprise  1 day  $600 Tulsa, OK
October 16, 2012  Introduction to STATISTICA  1 day  $400 Tulsa, OK
October 17, 2012  Basic Statistics  1 day  $400 Tulsa, OK
October 18, 2012  Advanced Statistics  1 day  $400 Tulsa, OK
October 19, 2012  Design of Experiments  1 day  $400 Tulsa, OK
November 13, 2012  Introduction to STATISTICA  1 day  $400 Tulsa, OK
November 14-15, 2012  STATISTICA Data Miner  2 days  $1200 Tulsa, OK
November 16, 2012  STATISTICA Automated Neural Networks  1 day  $400 Tulsa, OK
December 11, 2012  Introduction to STATISTICA  1 day  $400 Tulsa, OK
December 12, 2012  Basic Statistics  1 day  $400 Tulsa, OK
December 13, 2012  Advanced Statistics  1 day  $400 Tulsa, OK
December 14, 2012  Multivariate Analysis  1 day  $400 Tulsa, OK

 

 

 

 

Registration Information

How to Register

Registration forms need to be accompanied by a check, qualified company purchase order, or major credit card in order to reserve your place in the course. As class size is limited, early registration is advised. You can register from this Web site (see Training Registration) or by requesting a registration form from our Technical Services Department (e-mail: training@statsoft.com).

If you are unable to attend your scheduled session, substitutions or transfers may be made up to 2 weeks prior to the start of the course, but we ask that you notify us as soon as possible. If a cancellation is made up to 3 weeks prior to the class start date, the registration fee is fully refundable. Cancellations 2 to 3 weeks before the class are subject to a cancellation fee of 50% of the tuition. Registrants who cancel less than 2 weeks prior to the course are liable for the entire fee. Scheduled courses are subject to cancellation. StatSoft reserves the right to cancel a course up to two weeks prior to the first day of the course.

Cost

Cost for most one day seminars is $400, with the cost of STATISTICA Enterprise being $600. STATISTICA Data Miner is a two day seminar for $1200. These costs are for courses held in the United States; overseas prices vary (please contact the appropriate StatSoft office for more information).

CEU Credits

StatSoft, Inc. awards Continuing Education Units (CEUs) to each participant who successfully completes our training courses. The CEU is a nationally recognized unit of measure for continuing education and training programs that meet certain criteria. Participants who attend 90% of the course will be eligible for CEUs. A CEU is defined as ten contact hours of participation in an organized continuing education experience under responsible sponsorship and qualified instruction. A Certificate of Completion will be issued to each participant who completes the program. A permanent record of each individual's completion will remain on file with StatSoft, Inc.

Accommodations

For information concerning lodging or training locations, please contact StatSoft at (918) 749-1119 or training@statsoft.com. All training locations are handicapped accessible.

Dress

Casual attire.

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