Geographic Information and Location Analytics
A great deal of operational data has a location attached that is never used. This course covers how to work with spatial data, map it correctly and answer the questions that only location analysis can answer.
Course outline
What this programme covers, module by module.
- 01Location as data: coordinates, boundaries and projections
- 02Preparing spatial data and joining it to business records
- 03Choosing map types that do not mislead
- 04Proximity, catchment and service area analysis
- 05Overlay analysis and spatial joins
- 06Common distortions in mapped data
- 07Presenting spatial findings to decision makers
What you will gain
- Explain how spatial data is structured and stored
- Prepare and join location data to business records
- Choose map types that represent data honestly
- Perform proximity, catchment and overlay analysis
- Avoid the common distortions in mapped data
- Communicate spatial findings to decision makers
Who should attend
- Data analysts and researchers
- Planning and logistics staff
- Public sector and municipal analysts
- Retail and network planning teams
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 2 to 4 Nov 2026 | Cape Town | 3 Days | R13,000 | |
| 17 to 19 Nov 2026 | Johannesburg | 3 Days | R13,000 | |
| 11 to 13 Jan 2027 | London | 3 Days | US$1,500 | |
| 9 to 11 Feb 2027 | Dubai | 3 Days | US$1,500 | |
| 19 to 21 Apr 2027 | Pretoria | 3 Days | R13,000 | |
| 28 to 30 Jun 2027 | Durban | 3 Days | R13,000 |
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
More in Data & Analytics
Data Analysis and Visualisation with Excel
Excel remains the most widely used analysis tool in business, and few use it to its full potential. This course takes participants beyond basic formulas into structured analysis, PivotTables, and clear charts that reveal what the numbers mean.
Power BI for Business Intelligence and Reporting
Power BI turns scattered data into interactive reports that decision-makers can explore for themselves. This course guides participants from connecting data sources through building models to publishing dashboards that stay current.
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.



