## Overview

Statistics involves collecting, analysing, interpreting, presenting, and organising data and provides methods for making inferences and conclusions about a population based on a sample of data.

Microsoft Excel offers various techniques and functions to calculate a single value or an array of values from the data in your Excel worksheets.

Whether you want to use the Excel Analysis ToolPak (an add-in that provides many statistical analysis tools) or formulas for statistical analysis, such as probability and distribution, this course will guide you through building and developing the various advanced statistical approaches needed.

We will use Microsoft Excel and various sample datasets to produce statistical results that can be used in reports and storytelling.

We will help you apply the topics covered in the course to your everyday activities through hands-on learning and structured workshops.

## Prerequisites

You will need a working knowledge of the following;

• Understand how to write formulas using standard functions
• Ideally, you should have attended:

## Delegates will learn how to

At the end of the course, you’ll be able to:

• Build probability formulas

• Develop statistical distribution functionality

• Apply inferential statistics to datasets

## Outline

Module 1: Probability rules

• Conditional Probability
• Bayes’ Theorem
• Random Variables

Module 2: Statistical Distributions

Normal

• Bernoulli
• Binomial
• Poisson

Module 3: Inferential Statistics

• Point Estimates
• Hypothesis Testing
• Confidence Levels

Module 4: Inference for Numerical Data

• T-tests
• ANOVA

Module 5: Inference for Categorical Data

• Proportions
• Chi-Square

### Special Notices

For customers attending remotely via Virtual Classroom or ‘Attend From Anywhere’, an additional screen is required for this course to work through remote desktop labs and view training information.

## Data Citizen learning paths

= Required
= Certification
Data Citizen
Data Citizen

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