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Predictive Finance Analytics and Machine Learning for Finance Teams

Finance teams sit on rich transaction data but often use it only to explain the past rather than predict the future. This course introduces practical analytics and machine learning techniques that finance professionals can apply to forecasting, credit risk and anomaly detection without becoming data scientists. The focus is on accessible tools and real African business questions.

What you will be able to do

  • Explain how predictive analytics differs from traditional reporting.
  • Prepare and clean finance data for analysis.
  • Apply forecasting techniques to revenue, cost and cash flows.
  • Use analytics to detect anomalies and fraud indicators.
  • Interpret machine learning outputs for finance decisions.
  • Communicate analytical insights to non technical stakeholders.

Course outline

  1. 01From Reporting to Prediction in Finance
  2. 02Preparing and Cleaning Finance Data
  3. 03Forecasting Methods for Finance
  4. 04Anomaly and Fraud Detection Techniques
  5. 05Introduction to Machine Learning for Finance
  6. 06Interpreting and Validating Model Outputs
  7. 07Communicating Insight to Decision Makers

Who should attend

Financial analysts, management accountants, FP and A staff and finance managers wanting to work with predictive data.

Dates, venues and fees

DatesVenueDaysFeeCalendar
17 to 19 Aug 2026Kampala3US$1,500
24 to 26 Aug 2026Dar es Salaam3US$1,500
31 Aug to 2 Sep 2026Pretoria3R13,000
7 to 9 Sep 2026Cape Town3R13,000
21 to 23 Sep 2026Online3US$900
28 to 30 Sep 2026Mozambique3US$1,500
5 to 7 Oct 2026Cairo3US$1,500
12 to 14 Oct 2026Accra3US$1,500
19 to 21 Oct 2026Lusaka3US$1,500
26 to 28 Oct 2026Kigali3US$1,500
2 to 4 Nov 2026Nairobi3US$1,500
9 to 11 Nov 2026Durban3R13,000
16 to 18 Nov 2026Johannesburg3R13,000
30 Nov to 2 Dec 2026Mauritius3US$1,500
7 to 9 Dec 2026Dubai3US$1,500
14 to 16 Dec 2026Lagos3US$1,500
21 to 23 Dec 2026Harare3US$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.

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