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Predictive Analytics and Forecasting with Python

Organisations that can forecast demand, revenue and risk make sharper decisions than those relying on gut feel. This course teaches analysts to build predictive and forecasting models using Python and widely used libraries. Participants work through practical examples such as sales forecasting and customer churn drawn from African business settings.

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What you will be able to do

  • Prepare and explore data in Python for predictive modelling.
  • Build regression and classification models to answer business questions.
  • Develop time series forecasts for demand, revenue and other measures.
  • Evaluate model accuracy and avoid common overfitting mistakes.
  • Interpret model outputs and communicate them to non technical audiences.
  • Plan how to move a working model into ongoing business use.

Course outline

  1. 01Predictive Analytics Foundations
  2. 02Data Preparation in Python
  3. 03Regression and Classification Models
  4. 04Time Series Forecasting
  5. 05Model Evaluation and Validation
  6. 06Interpreting and Explaining Results
  7. 07Communicating to Stakeholders
  8. 08From Model to Business Use

Who should attend

Data analysts, business analysts and finance or operations professionals with basic Python or programming exposure.

Dates, venues and fees

DatesVenueDaysFeeCalendarRegister
28 Sep to 2 Oct 2026Johannesburg5R18,000Closed
5 to 9 Oct 2026Cape Town5R18,000Register
12 to 16 Oct 2026Durban5R18,000Register
19 to 23 Oct 2026Pretoria5R18,000Register
26 to 30 Oct 2026Nairobi5US$1,800Register
2 to 6 Nov 2026Dar es Salaam5US$1,800Register
9 to 13 Nov 2026Lusaka5US$1,800Register
16 to 20 Nov 2026Harare5US$1,800Register
23 to 27 Nov 2026Accra5US$1,800Register
30 Nov to 4 Dec 2026Lagos5US$1,800Register
7 to 11 Dec 2026Dubai5US$1,800Register

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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