Business analysts are increasingly asked to interpret machine learning outputs without a technical background in data science. This course demystifies core machine learning concepts such as classification, clustering and prediction using accessible business examples from retail, telecoms and agriculture. Delegates gain enough working knowledge to brief data science teams accurately and question model outputs with confidence.
What you will be able to do
Distinguish between supervised, unsupervised and predictive machine learning approaches.
Interpret common model outputs including accuracy, precision and confusion matrices.
Frame business problems in terms that data science teams can act on.
Question model assumptions and identify signs of bias in training data.
Evaluate vendor claims about machine learning capabilities in business software.
Prepare a brief that translates a business need into an analytics project.
Course outline
01Machine Learning Concepts for Non Specialists
02Supervised versus Unsupervised Learning
03Reading Model Outputs and Metrics
04Framing Business Problems for Data Teams
05Spotting Bias in Training Data
06Evaluating Vendor Analytics Claims
07Case Studies from African Industries
08Briefing Data Science Teams Effectively
Who should attend
Business analysts, product managers and operations staff who work alongside data science and analytics teams.
Dates, venues and fees
Dates
Venue
Days
Fee
Calendar
17 to 19 Aug 2026
Dar es Salaam
3
US$1,500
24 to 26 Aug 2026
Pretoria
3
R13,000
31 Aug to 2 Sep 2026
Cape Town
3
R13,000
14 to 16 Sep 2026
Online
3
US$900
21 to 23 Sep 2026
Mozambique
3
US$1,500
28 to 30 Sep 2026
Cairo
3
US$1,500
5 to 7 Oct 2026
Accra
3
US$1,500
12 to 14 Oct 2026
Lusaka
3
US$1,500
19 to 21 Oct 2026
Kigali
3
US$1,500
26 to 28 Oct 2026
Nairobi
3
US$1,500
2 to 4 Nov 2026
Durban
3
R13,000
9 to 11 Nov 2026
Johannesburg
3
R13,000
23 to 25 Nov 2026
Mauritius
3
US$1,500
30 Nov to 2 Dec 2026
Dubai
3
US$1,500
7 to 9 Dec 2026
Lagos
3
US$1,500
14 to 16 Dec 2026
Harare
3
US$1,500
21 to 23 Dec 2026
Kampala
3
US$1,500
Fees are per delegate. South African venues are priced in rand; other locations and online in US dollars. Fees exclude 15% VAT where applicable. Group bookings of three or more delegates from the same organisation qualify for a reduced rate; contact us for a quotation.
Related courses in Data, Digital and Cyber Security