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Roaya

Predictive Analytics for Better Planning Training Kit

  • 4 days
  • 8 sessions
  • 120 min / session
  • 16 hours in total
  • Intermediate level
  • Arabic

Description

Data has become one of the most important resources organisations rely on to understand reality and anticipate the future, and with the development of artificial intelligence techniques, more advanced methods have emerged that help analyse data and extract indicators that support planning and decision-making. Predictive analytics provides an approach that helps organisations study available data, forecast future trends, and prepare for potential changes.

The kit covers the definition of predictive analytics and its concept and role in analysing data and anticipating future trends, focusing on building predictive models and employing artificial intelligence and modern algorithms. It also explains how to employ predictive analytics in strategic planning and decision-making, and turning data into indicators and practical value that support performance development and achieving competitive advantage.

Objectives

  • Identifying the concept of predictive analytics and its role in data analysis and decision-making.
  • Analysing data and employing it to anticipate future trends and potential changes.
  • Understanding the foundations of building predictive models and employing the appropriate algorithms for data analysis.
  • Employing artificial intelligence techniques in developing predictive models and supporting planning.
  • Applying predictive analytics in strategic planning and improving institutional decisions.

Who it's for

Business analysts and planners, decision-makers, and anyone interested in artificial intelligence.

Training sessions

  • Opening activity and programme launch
  • What is meant by predictive analytics?
  • The importance and aims of predictive analytics for business
  • Fields that benefit from predictive analytics
  • Training activity: brainstorming - participants' expectations of how forecasting can serve their business
  • Predictive analytics and the analytics hierarchy

Version 1 — updated 16 October 2026

We keep the content up to date; every download gets the latest version.

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Frequently asked questions

Business analysts and planners, decision-makers, and anyone interested in artificial intelligence.

Files coming soon