## 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.

Understanding the fundamentals of statistics can help make sense of large datasets by summarising and drawing meaningful insights from them.

So, whether you are calculating averages, measuring variability, or testing hypotheses, statistics can play a crucial role in the business.

This introductory course targets you, the data user, who wants to learn the basics of statistical analysis and will help you become more confident in using standard statistics in your day-to-day activities. It will also serve as an introduction to more advanced statistical tools available in products like Excel.

You will build and develop your statistical knowledge throughout the course using sample data inside an Excel environment.

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

## Delegates will learn how to

At the end of the course, you will be able to:

• Understand the need for statistical analysis
• Build common statistic functions, such as Min, Max, Average
• Create dispersion statistics such as Median, Mode, Standard Deviation
• Interact with the Data Analysis ToolPak in Excel
• Develop statistical visuals, such as trendlines, histograms, and scatter plots

## Outline

Module 1: What is statistical analysis?

• Introduction to stats
• Identify the Excel formulas and techniques.

Module 2: Build the common statistics

• Count, Min, Max, Average

Module 3: Central Tendency and Dispersion

• Median
• Mode (sngl and mult)
• Standard deviation (sample and population)
• Quartiles (upper, lower, and IQR)

Module 4: The Data Analysis ToolPak

• Descriptive statistics
• Histogram data
• Rank and Percentile
• Correlation

Module 5: Visualise the results

• Line charts – the trend
• Histogram charts
• Box and whisker – dispersion
• Scatter charts - correlation

### 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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### How do QA’s online courses work?

QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.

All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.