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AfriScience GroupAfriScienceGroup
AI and Digital Transformation

Machine Learning Foundations for Business Analysts

A hands on technical foundation course that takes business analysts from spreadsheet based reporting into the fundamentals of machine learning. Using accessible tools and real datasets drawn from retail, finance and telecommunications, participants learn to prepare data, train simple predictive models and interpret results without requiring a programming background. The course closes the gap between raw data and the machine learning projects analysts are increasingly asked to support.

3 day courseRegister NowRequest Proposal

Course objectives

  • Describe the machine learning workflow from data collection to model deployment
  • Prepare and clean datasets for supervised learning tasks
  • Build and evaluate simple classification and regression models
  • Interpret model output, accuracy metrics and common sources of bias
  • Translate machine learning results into recommendations for non technical stakeholders

Who should attend

  • Business and financial analysts
  • Data and reporting officers
  • IT professionals moving into analytics roles
  • Product and marketing analysts
  • Graduate trainees in data related functions

Course outline

  1. 01The machine learning workflow and where it fits in business analytics
  2. 02Data preparation, cleaning and feature selection
  3. 03Supervised learning: classification and regression models
  4. 04Model evaluation, accuracy and avoiding overfitting
  5. 05Introduction to unsupervised learning and clustering
  6. 06Communicating machine learning findings to business audiences

Scheduled sessions

Scheduled sessions for Machine Learning Foundations for Business Analysts
DatesVenueFormatPriceRegister
3 to 5 October 2026Online, OnlineOnlineR6,500 per delegateRegister Now
13 to 15 October 2026Nairobi, KenyaClassroomR11,995 per delegateRegister Now
13 to 15 November 2026Johannesburg, South AfricaClassroomR11,995 per delegateRegister Now
5 to 7 February 2027Lagos, NigeriaClassroomR11,995 per delegateRegister Now
25 to 27 July 2027Gaborone, BotswanaClassroomR11,995 per delegateRegister Now