Statistical Analysis for Business Professionals
Statistics gives professionals the tools to move from guesswork to evidence. This course builds a practical understanding of core statistical methods and how to apply and interpret them in a business context.
Course outline
What this programme covers, module by module.
- 01Summarising data using descriptive statistics and measures of spread
- 02Understanding distributions, variability and the normal curve
- 03Testing hypotheses and interpreting statistical significance
- 04Measuring the strength of relationships between variables
- 05Using regression for estimation and simple forecasting
- 06Interpreting statistical results honestly and responsibly
- 07Recognising when a sample is too small to trust
What you will gain
- Summarise data using descriptive statistics
- Understand distributions and variability
- Test hypotheses and interpret significance
- Measure relationships between variables
- Use regression for estimation and forecasting
- Interpret statistical results responsibly
Who should attend
- Analysts and researchers
- Finance and operations professionals
- Planning and evaluation staff
- Anyone applying statistics at work
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 26 to 30 Oct 2026 | Dubai | 5 Days | US$1,800 | |
| 16 to 20 Nov 2026 | Pretoria | 5 Days | R18,000 | |
| 30 Nov to 4 Dec 2026 | Durban | 5 Days | R18,000 | |
| 11 to 15 Jan 2027 | Cape Town | 5 Days | R18,000 | |
| 1 to 5 Feb 2027 | Johannesburg | 5 Days | R18,000 | |
| 19 to 23 Apr 2027 | London | 5 Days | US$1,800 | |
| 28 Jun to 2 Jul 2027 | Dubai | 5 Days | US$1,800 |
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
- R18,000 per delegate
- Duration
- 5 Days
- Field
- Data & Analytics
- Formats
- In-house, public, online
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