Hands on Consumer Driven Product Optimisation, New York (or VIRTUAL), June 2019

£1,865.00 exc VAT

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Choose which option you wish to purchase or choose 'no purchase at this time'

Check the box to decide whether you are attending virtually (limited numbers available) or face-to-face (standard)

3 day face-to-face course

Day 1 - Exploratory and Analytic Methods for Consumer Science

Hands on training course at New York facility - computers provided

Day 2 - Segmentation, Mapping and Portfolio Optimisation Using Multi Product Tests

Pay in £, $ or Eu (see Notes below)

Day 3 - Product and Concept Investigation and Optimisation - Techniques for Trials with Fewer Products

Option to attend virtually!

Option to purchase XLSTAT at reduced price

Hands on Consumer Driven Product Optimisation, 19-21st June, New York, USA

This 3 day course is designed to take you through the key methods that are used in consumer science and explain how they work and how they are applied to consumer data. Emphasis is given to the practical decision making based on the results of each analysis. Participants will apply the methods to real life data using XLSTAT routines and will be guided by the written solutions that are a unique feature of our training. These solutions give you the possibility to pick up the notes after 6 months or a year and remind yourself how the technique works and then apply it to your own data.
In the training room you will have a computer with XLSTAT installed but you are welcome to bring your own laptop if you prefer. We can provide you with a licence for XLSTAT at a 30% discount either as you book or at the end of the training.

For full workshop outline including a detailed list of topics, please view the course flyer (see below).

Discounts: We offer a 10% discount on registrations when two or more people from the same company register for the same course at the same time. We also offer a 10% discount for members of academia. (Discounts calculated at checkout.)

The course will run at a specialist training facility in New York; computers will be provided but you are welcome to bring your own laptop. The price includes a folder of course material plus exercises with worked solutions.

Option to attend virtually
Attend this training courses from the comfort of your home or office. Experience all the benefits of instructor-led training without the hassle of travelling. With Virtual Training Room, you can join a live training event from any location, whether you're in a cube at work or at home, you'll feel as if you are physically present in the classroom. Advanced classroom technology enables our presenters to deliver the same live instruction, whether you're onsite and offsite. Please contact the course leader anne@qistatistics.co.uk for more information.

Registration Policy: Registration is not final until payment is received. Unpaid spaces will be opened to new registrants 30 days ahead of courses. Virtual attendees must register and make payment at least 30 days before the start of the course to secure a virtual seat.
Payment: Payment is shown in £ on the website. Payment may also be made in Euros or US Dollars. For this option, please book your space via the website and request 'pay by cheque or direct' at checkout which will prompt us to collect payment direct in your currency by transfer into Qi Statistics' currency accounts. Alternatively contact the course administrator Karen Starke: karen@qistatistics.co.uk for routing and IBAN details of the currency account you require.
Refund policy: Cancellation of registration can be made up to 30 days ahead, and return of payments, minus reasonable administrative expenses, will be made for these cancellations. Cancellations within 15 to 30 days of the course start will receive a credit for a future course. Registrants who fail to attend or cancel less than 15 days prior to the seminar start date are responsible for the entire fee. Substitution of another person for the same course may be made at any time.
Course Cancellation: Qi Statistics Ltd retains the right to cancel the course 30 days before the start date if less than 4 delegates have registered by that date. Please do not book travel before this date.

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