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Practical Machine Learning for Business Analysts

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.

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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

  1. 01Machine Learning Concepts for Non Specialists
  2. 02Supervised versus Unsupervised Learning
  3. 03Reading Model Outputs and Metrics
  4. 04Framing Business Problems for Data Teams
  5. 05Spotting Bias in Training Data
  6. 06Evaluating Vendor Analytics Claims
  7. 07Case Studies from African Industries
  8. 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

DatesVenueDaysFeeCalendarRegister
28 to 30 Sep 2026Dar es Salaam3US$1,500Closed
29 Sep to 1 Oct 2026Kigali3US$1,500Register
30 Sep to 2 Oct 2026Kampala3US$1,500Register
5 to 7 Oct 2026Accra3US$1,500Register
6 to 8 Oct 2026Lagos3US$1,500Register
7 to 9 Oct 2026Cairo3US$1,500Register
12 to 14 Oct 2026Mauritius3US$1,500Register
13 to 15 Oct 2026Dubai3US$1,500Register
14 to 16 Oct 2026Online3US$900Register
10 to 12 Nov 2026Johannesburg3R13,000Register
11 to 13 Nov 2026Cape Town3R13,000Register
16 to 18 Nov 2026Durban3R13,000Register
17 to 19 Nov 2026Pretoria3R13,000Register
18 to 20 Nov 2026Windhoek3US$1,500Register
23 to 25 Nov 2026Gaborone3US$1,500Register
24 to 26 Nov 2026Maseru3US$1,500Register
25 to 27 Nov 2026Mbabane3US$1,500Register
30 Nov to 2 Dec 2026Lusaka3US$1,500Register
1 to 3 Dec 2026Harare3US$1,500Register
2 to 4 Dec 2026Lilongwe3US$1,500Register
7 to 9 Dec 2026Blantyre3US$1,500Register
8 to 10 Dec 2026Mozambique3US$1,500Register
9 to 11 Dec 2026Nairobi3US$1,500Register

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.

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