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EasyUphillTRAININGCORPORATE DEVELOPMENT
Data & Analytics

Experiment Design and A/B Testing

Most business experiments produce results that do not mean what people think they mean. This course covers how to design a valid test, size it properly and interpret the outcome without fooling yourself.

3 DaysIn-house or publicLive online available

Course outline

What this programme covers, module by module.

  1. 01Why business experiments so often mislead
  2. 02From business question to testable hypothesis
  3. 03Experiment design, controls and randomisation
  4. 04Sample size, power and how long to run a test
  5. 05Contamination, peeking and other ways tests break
  6. 06Significance, effect size and practical importance
  7. 07Deciding and acting on the result

What you will gain

  • Frame a business question as a testable hypothesis
  • Design a valid experiment with proper controls
  • Calculate the sample size a test actually requires
  • Run tests without contaminating the results
  • Interpret significance and effect size correctly
  • Decide and act on an experiment outcome

Who should attend

  • Analysts and data scientists
  • Digital and product teams
  • Marketing and optimisation staff
  • Managers commissioning experiments

Upcoming sessions

DateCityDurationFeesBook
2 to 4 Nov 2026London3 DaysUS$1,500
16 to 18 Nov 2026Dubai3 DaysUS$1,500
30 Nov to 2 Dec 2026Pretoria3 DaysR13,000
11 to 13 Jan 2027Durban3 DaysR13,000
25 to 27 Jan 2027Cape Town3 DaysR13,000
5 to 7 Apr 2027Johannesburg3 DaysR13,000
7 to 9 Jun 2027London3 DaysUS$1,500

Fees are per delegate and exclude VAT. Public intakes are confirmed once minimum numbers are met. We also deliver this course on your own schedule, in-house or live online.

Enquire about this course

Register your team or ask for a tailored in-house quote. We reply within one working day.

WhatsApp usCourse brochure (PDF)
Fees from
R13,000 per delegate
Duration
3 Days
Field
Data & Analytics
Formats
In-house, public, online