Statistics and Data Analysis with Excel: Essentials

Statistics and Data Analysis with Excel: Essentials

本课程是 Statistics and Data Analysis with Excel 专项课程的一部分

位教师：Assoc Prof Prashan S. M. Karunaratne

6,953 人已注册

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5个模块

深入了解一个主题并学习基础知识。

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1 周完成

在 10 小时一周

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5个模块

深入了解一个主题并学习基础知识。

66 条评论

初级等级

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1 周完成

在 10 小时一周

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您将学到什么

Evaluate the impact of statistical methods on organisation-wide decision-making processes.
Design spreadsheet models to predict organisational trends and outcomes.
Critically interpret graphical data representations to identify actionable insights.
Formulate data analysis strategies to optimise organisational performance.

您将获得的技能

您将学习的工具

Microsoft Excel

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作业

9 项作业

授课语言：英语（English）

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积累特定领域的专业知识

本课程是 Statistics and Data Analysis with Excel 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

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该课程共有5个模块

Statistics and data analysis involve collecting, analysing, interpreting and presenting data to stakeholders to enhance their decision-making.

Statistics is all about making sense of numbers and finding patterns in the data - in business, health, sports, science, the arts, and more. Statistics can be divided into two main branches, descriptive statistics and inferential statistics. Descriptive Statistics summarise and describe the features of a data set. Inferential Statistics allow us to make predictions or inferences about a population based on a sample of data that we have access to. In this course, you will be equipped with the tools and techniques to transform your data into meaningful output to drive insights for your work and your organisation. We will explore both Descriptive Statistics as well as Inferential Statistics.

In this module, we will cover the Introduction to Statistics. What is Statistics? What are the different types of Statistics? How do we summarise large volumes of data to make it more meaningful to generate insights for our organisation? Welcome to the Introduction to Statistics!

涵盖的内容

5个视频9篇阅读材料2个作业

5个视频总计17分钟

Welcome to Statistics and Data Analysis with Excel: Essentials 2分钟
Introduction to Statistics and Measures of Centredness 4分钟
Descriptive Statistics - Measures of Centredness 4分钟
Formulas for Measures of Centredness 2分钟
Histograms 5分钟

9篇阅读材料总计90分钟

Course Information 10分钟
Your Learning Path - How the course is structured 10分钟
Download the workbooks 10分钟
At the end of this module - your final Excel file should look like this 10分钟
Toolbox Summary - Introduction to Data and Analytics 10分钟
Toolbox Summary - Statistics and Analytics Terminology 10分钟
Toolbox Summary - Descriptive Statistics 10分钟
Why the Practice Assignment is after the Graded Assignment 10分钟
Optional Reading - Introduction to Statistics 10分钟

2个作业总计60分钟

Test Yourself: Introduction to Statistics 30分钟
Introduction to Statistics - Practice for Final Assignment 30分钟

In this module, we will cover Variance. Now that we know how to measure centred-ness, how do we measure spread? What are the various numerical and graphical measures of spread? Why is measuring spread important? Welcome to Variance!

涵盖的内容

4个视频6篇阅读材料2个作业

4个视频总计16分钟

Measures of Spread 5分钟
Descriptive Statistics - Measures of Spread 3分钟
Formulas for Measures of Spread 4分钟
Boxplots 5分钟

6篇阅读材料总计60分钟

Download the Workbooks 10分钟
At the end of this module - your final Excel file should look like this 10分钟
Toolbox Summary - Summarising Data 10分钟
Toolbox Summary - Variance and Spread 10分钟
Why the Practice Assignment is after the Graded Assignment 10分钟
Optional Reading - Variance 10分钟

2个作业总计60分钟

Test Yourself: Variance 30分钟
Variance - Practice for Final Assignment 30分钟

Now that we have looked at measures of centred-ness and measures of spread, let's bring it all together. What do data distributions look like? What can we infer from a sample of data if we know its centre and its spread? Are all distributions the same? Welcome to the Normal Distribution!

涵盖的内容

4个视频6篇阅读材料2个作业

4个视频总计17分钟

The Normal Distribution 3分钟
Normal Distribution and Excel 6分钟
Standard Normal Distribution and the Central Limit Theorem 5分钟
Z statistics versus t statistics 2分钟

6篇阅读材料总计60分钟

Download workbooks on Normal Distribution 10分钟
At the end of this module - your final Excel file should look like this 10分钟
Toolbox Summary - The Normal Distribution 10分钟
Toolbox Summary - The Central Limit Theorem 10分钟
Why the Practice Assignment is after the Graded Assignment 10分钟
Optional Reading - The Normal Distribution 10分钟

2个作业总计60分钟

Test Yourself: Normal Distribution 30分钟
Normal Distribution - Practice for Final Assignment 30分钟

Now that you have mastered the Normal Distribution, let's do some testing! What if you want to make an inference about an entire population but you only have a sample of data? How can you use the statistics of a sample to make decisions for your organisation? How large should your sample size be? Welcome to Statistical Inference!

涵盖的内容

4个视频8篇阅读材料3个作业

4个视频总计20分钟

Statistical Inference 5分钟
Steps of Hypothesis Testing 6分钟
Z-test for a One Sample Hypothesis Test 6分钟
t-test for a One Sample Hypothesis Test 4分钟

8篇阅读材料总计80分钟

Download the Module 5 Workbooks 10分钟
At the end of this module - your final Excel file should look like this 10分钟
Toolbox Summary - Statistical Inference 10分钟
Toolbox Summary - Hypothesis Testing 10分钟
Hypothesis Testing for One Sample Tests 10分钟
Why the Practice Assignment is after the Graded Assignment 10分钟
Optional Reading - Statistical Inference 10分钟
Summary of the Course and Next Steps 10分钟

3个作业总计90分钟

Test Yourself: Statistical Inference 30分钟
Final Assignment - Excel Skills for Statistics and Data Analysis: Essentials 30分钟
Statistical Inference - Practice for Final Assignment 30分钟

The material in this module consists of a series of Toolboxes. While the material covered in these Toolboxes is not necessarily related to Statistics - these Toolboxes will help you expand your tools and techniques in Microsoft Excel. To further your skills in Microsoft Excel in domains beyond Statistics, you may want to consider our other courses and specializations: Excel Skills for Business. Excel Skills for Data Analytics and Visualization, Excel Skills for Business Forecasting

涵盖的内容

8篇阅读材料

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位教师

授课教师评分

(23个评价)

Assoc Prof Prashan S. M. Karunaratne

28 门课程 1,637,113 名学生

提供方

Macquarie University

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已于 Sep 18, 2025审阅

Really good course. Videos are easy to understand. Makes it easy to implement what we have learned during assignments.

已于 Jul 2, 2025审阅

easily explained and well structured summaries for further references. definitely recommended.

已于 Sep 3, 2025审阅

I'm to be exposed to this course. I used to have challenges in Excel but I cannot use Excel, I can now manipulate it with some basic statistics.

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