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EasyUphillTRAININGCORPORATE DEVELOPMENT
Data & Analytics

Introduction to Data Analytics for Decision Making

This course demystifies data analytics for professionals who need to use data but are not specialists. Participants learn how to ask the right questions, interpret results, and use evidence to support better decisions.

3 DaysIn-house or publicLive online available

Course outline

What this programme covers, module by module.

  1. 01Framing a business question in clear analytical terms
  2. 02Recognising different types of data and analysis
  3. 03Interpreting common charts and summary statistics
  4. 04Judging the reliability of data and the conclusions drawn
  5. 05Communicating findings plainly to non-specialists
  6. 06Using evidence to support and defend a decision
  7. 07Avoiding the temptation to over-read small differences

What you will gain

  • Frame business questions in analytical terms
  • Recognise different types of data and analysis
  • Interpret common charts and summary statistics
  • Judge the reliability of data and conclusions
  • Communicate findings to non-specialists
  • Use evidence to support decisions

Who should attend

  • Managers and decision-makers
  • Officers new to working with data
  • Project and programme staff
  • Anyone using data in their role

Upcoming sessions

DateCityDurationFeesBook
26 to 28 Oct 2026Johannesburg3 DaysR13,000
9 to 11 Nov 2026London3 DaysUS$1,500
23 to 25 Nov 2026Dubai3 DaysUS$1,500
11 to 13 Jan 2027Pretoria3 DaysR13,000
15 to 17 Feb 2027Durban3 DaysR13,000
3 to 5 May 2027Cape Town3 DaysR13,000
28 to 30 Jun 2027Johannesburg3 DaysR13,000

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