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AI and Digital Transformation

Data Science for Business Leaders

Leaders commission data science work, approve its budget and act on its output, usually without the training to interrogate any of it. This course closes that gap without turning anybody into a statistician. Delegates learn what these methods can and cannot establish, particularly the difference between correlation and cause and why that difference decides whether a finding supports a decision. Model evaluation is covered in usable terms: what accuracy omits, why a model can be right on average and wrong where it matters, and how a model degrades. The course also covers the questions that expose a weak analysis and the data conditions a project needs before it can start.

Course objectives

  • Explain what these methods can and cannot establish
  • Distinguish correlation from cause and know when it matters
  • Interpret model performance beyond a headline accuracy figure
  • Recognise a model that is right on average and wrong where it counts
  • Understand how models degrade and what maintenance they need
  • Ask the questions that expose a weak analysis
  • Assess whether the data conditions for a project actually exist

Who should attend

  • Executives and senior managers commissioning analytics
  • Function heads acting on analytical output
  • Product and strategy professionals
  • Finance leaders evaluating investment cases
  • Board members with a data or technology remit

Course outline

  1. 01What these methods establish, and what they do not
  2. 02Correlation, cause and the decisions that depend on the difference
  3. 03Model evaluation in usable terms
  4. 04Where accuracy misleads
  5. 05Model degradation and maintenance
  6. 06Questions that expose a weak analysis
  7. 07Data conditions a project requires
  8. 08Commissioning and governing analytical work

Scheduled sessions

Scheduled sessions for Data Science for Business Leaders
DatesVenueFormatPriceRegister
2 to 4 November 2026OnlineOnlineR6,500 per delegateRegister Now
23 to 25 November 2026Cape Town, South AfricaClassroomR14,950 per delegateRegister Now
27 to 29 January 2027Windhoek, NamibiaClassroomR14,950 per delegateRegister Now
10 to 12 March 2027Johannesburg, South AfricaClassroomR14,950 per delegateRegister Now
17 to 19 March 2027Gaborone, BotswanaClassroomR14,950 per delegateRegister Now
24 to 26 March 2027Nairobi, KenyaClassroomUSD 995 per delegateRegister Now

Data Science for Business Leaders

From R6,500

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