Hands on Consumer Driven Product Optimisation, Paris

Product code: Qi-Hal-HOCDPO-Paris2019

Paris

October 23, 2019 - October 25, 2019

  • 3 day face-to-face course
  • Hands on training course at Paris facility – computers provided
  • Option to purchase XLSTAT at reduced price
  • Taught by Anne Hasted
  • Day 1 – Exploratory and Analytic Methods for Consumer Science
  • Day 2 – Segmentation, Mapping and Portfolio Optimisation Using Multi Product Tests
  • Day 3 – Product and Concept Investigation and Optimisation – Techniques for Trials with Fewer Products

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).

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Other course information

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 – please choose the appropriate option when purchasing.

Location
The course will run at a specialist training facility in Paris; 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.

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 can be made in GBP, EUR or USD. Please choose the appropriate currency when you checkout.

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.

Course leaflet

Please click the button below to access the PDF leaflet for this course