Descriptive Statistics, Sampling & Regression

Apply statistical techniques, including sampling and regression analysis to ‘real world’ case studies for data-driven decision making.

Why Does this Course Matter:

Sound statistical knowledge is essential for evidence-based decision-making. This course equips professionals to analyse and interpret data accurately—essential for drawing reliable insights in operations, strategy, planning, and reporting. It provides a practical starting point for building a robust analytical skillset that supports better outcomes in any sector.

What Will I Learn:

  • Confidence in using the Normal Distribution for data interpretation and analysis
  • Ability to describe key dataset features and understand their impact on results
  • Skills in applying correlation and regression to explore relationships in real-world data
  • Knowledge of sampling theory and how to draw meaningful conclusions from data subsets
  • Foundation for more advanced analytical techniques such as forecasting and simulation

Course Topics:

  • Apply the Normal Distribution to real business problems
  • Perform and interpret correlation and regression analysis
  • Explore practical issues with sampling and common data questions
  • Understand statistical assumptions and how they affect analysis
  • Use statistical results to inform forecasting, simulation, and decision support.

Who is this course for:

  • Early-career Operational Researchers seeking a solid grounding in statistics
  • Analysts and professionals looking to build confidence in statistical interpretation
  • Those working with data in roles across business, government, or the third sector
  • Project teams involved in evidence gathering, performance monitoring, or planning
  • Anyone responsible for interpreting or presenting data for informed decision-making
  • Individuals preparing to progress toward more advanced forecasting or simulation techniques

Related Courses


Prices

  • OR Society Member £495 + VAT
  • Non-Member £625 + VAT
  • Student Member £370 + VAT
  • For group booking discounts please contact [email protected]

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When
29/09/2026 09:00 - 17:00
GMT Daylight Time
Where
Online 09:00-17:00
Spots available
16 spots left
Registration
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Last day to register is 28/09/2026