• From: Nov 02, 2026
  • To: Nov 04, 2026
  • Duration:

    3 Days

  • Location:
Course Code: AX-001

Statistics for Business Analytics

Applying Statistical Methods to Data-Driven Business Decision-Making

$1,650.00

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Course Overview

In today’s data-driven business environment, organisations need more than access to large volumes of data—they need the ability to analyse that data accurately and transform it into meaningful business insights. Statistics for Business Analytics provides participants with the practical statistical knowledge required to understand data, identify trends and relationships, evaluate uncertainty, and make evidence-based decisions.

This course introduces the essential principles of business statistics and demonstrates how statistical techniques can be applied to real-world business problems. Participants will learn how to collect, organise, summarise, analyse, and interpret data using practical examples and business scenarios.

Learning Objectives

  • Explain fundamental statistical concepts and their relevance to business analytics
  • Identify appropriate statistical techniques for different business problems
  • Organise and summarise business data using descriptive statistics
  • Calculate and interpret measures of central tendency and variability
  • Understand probability and its application to business risk and decision-making
  • Apply appropriate sampling methods
  • Construct and interpret confidence intervals
  • Formulate and test statistical hypotheses
  • Interpret statistical significance and business significance
  • Analyse relationships between variables using correlation and regression

Who Should Attend

  • Business Analysts
  • Data Analysts
  • Financial Analysts
  • Finance and Accounting Professionals
  • Management Accountants
  • Operations Managers
  • Supply Chain and Procurement Professionals
  • Marketing Professionals
  • Human Resources Professionals
  • Quality and Performance Professionals

Course Outline

This course covers the following core modules:

  • Fundamentals of Statistics for Business Analytics
  • Descriptive Statistics and Data Visualisation
  • Probability and Business Uncertainty
  • Sampling, Estimation and Confidence Intervals
  • Hypothesis Testing and Statistical Decision-Making
  • Correlation and Regression Analysis
  • Forecasting and Time-Series Analysis
  • Analysis of Variance (ANOVA)
  • Statistical Analysis for Business Performance
  • From Statistical Results to Business Insights
  • Practical Excel Workshop

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