Business Analyst Training | Statistics Course in Hamilton

Introduction to Statistics Course Outline

Module 1: Visualising Relationships in Data

• Visualising Relationships in Data

Module 2: Probability Theory

• What is Probability?
• Measuring Probability
• Union Probability
• Random Variables

Module 3: Probability

• Probability

Module 4: Estimation

• What is Estimation?
  • Types of Estimators

Module 5: Normal and Outlier Distribution

• Normal Distribution
• Outlier Distribution 

Module 6: Regression

• Regression
  • Types of Regression

Module 7: Regression Analysis

• Regression Analysis

Module 8: Inference

• Inference
• Statistics and Causal Inference 

Module 9: Overview of Statistical Analysis

• Basic Steps of the Research Process
• Differences Between Populations and Samples
• Experimental Research Designs
• Non-Experimental Research Designs
• Differences Between Experimental and Non-Experimental Research Designs
• Difference Between Independent and Dependent Variables

Who Should Attend this Statistics Course?

The Statistics Training is a great way to learn the basics of Statistics, which are essential for many fields like business, economics, science, and engineering. This course can be beneficial for a wide range of professionals, including:

• Business Analysts
• Marketing Professionals
• Quality Assurance Professionals
• Entry-level Data Analysts
• R&D Managers
• IT Professionals
• Market Research Analysts

Prerequisites of the Statistics Course

There are no formal prerequisites for this Statistics Training Course. However, a basic understanding of mathematics, including algebra and probability will be beneficial for the delegates.    

Statistics Course Overview

Statistics Training introduces delegates to the principles of collecting, analysing, and interpreting data for informed decision-making. It explains how statistical thinking transforms complex datasets into meaningful insights across business, healthcare, and research environments.

This training supports professionals seeking to strengthen data-driven capability. It builds the ability to interpret results accurately, reduce uncertainty, and improve outcomes in analytical, financial, marketing, and research-focused roles.

This 1-Day Statistics Course offered by The Knowledge Academy enables delegates to apply statistical concepts with confidence. Through focused learning and practical activities, delegates gain the skills to analyse data effectively, use key methodologies, and make sound, evidence-based decisions.

Statistics Course Objectives

• To demonstrate the knowledge of probability and the standard statistical distributions
• To perform complex data management and analysis
• To understand how to design experiments and surveys for efficiency
• To gain knowledge of classical and representative measures, multivariate methods
• To demonstrate the knowledge of fixed-sample and large-sample statistical properties of point
• To apply linear, nonlinear, and generalised linear models

After completing this Introduction to Statistics Course, delegates will gain valuable proficiency in statistical software and a comprehensive understanding of statistical concepts. This knowledge will empower them to harness data effectively, enhancing their career opportunities and enabling them to contribute to data-driven decision-making in their respective fields.

What’s Included in this Statistics Course?

• World-Class Training Sessions from Experienced Instructors
• Introduction to Statistics Certificate
• Digital Delegate Pack