Statistics and Data Analysis with Excel: Essentials

Statistics and Data Analysis with Excel: Essentials

This course is part of Statistics and Data Analysis with Excel Specialization

Instructor: Assoc Prof Prashan S. M. Karunaratne

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5 modules

Gain insight into a topic and learn the fundamentals.

83 reviews

Beginner level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

96%

Most learners liked this course

5 modules

Gain insight into a topic and learn the fundamentals.

83 reviews

Beginner level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

96%

Most learners liked this course

What you'll learn

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.

Skills you'll gain

Tools you'll learn

Microsoft Excel

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

9 assignments

Taught in English

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This course is part of the Statistics and Data Analysis with Excel Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 5 modules in this course

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!

What's included

5 videos9 readings2 assignments

5 videosTotal 17 minutes

Welcome to Statistics and Data Analysis with Excel: Essentials2 minutes
Introduction to Statistics and Measures of Centredness4 minutes
Descriptive Statistics - Measures of Centredness4 minutes
Formulas for Measures of Centredness2 minutes
Histograms5 minutes

9 readingsTotal 90 minutes

Course Information10 minutes
Your Learning Path - How the course is structured10 minutes
Download the workbooks10 minutes
At the end of this module - your final Excel file should look like this10 minutes
Toolbox Summary - Introduction to Data and Analytics10 minutes
Toolbox Summary - Statistics and Analytics Terminology10 minutes
Toolbox Summary - Descriptive Statistics10 minutes
Why the Practice Assignment is after the Graded Assignment10 minutes
Optional Reading - Introduction to Statistics10 minutes

2 assignmentsTotal 60 minutes

Introduction to Statistics - Practice for Final Assignment30 minutes
Test Yourself: Introduction to Statistics30 minutes

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!

What's included

4 videos6 readings2 assignments

4 videosTotal 16 minutes

Measures of Spread5 minutes
Descriptive Statistics - Measures of Spread3 minutes
Formulas for Measures of Spread4 minutes
Boxplots5 minutes

6 readingsTotal 60 minutes

Download the Workbooks10 minutes
At the end of this module - your final Excel file should look like this10 minutes
Toolbox Summary - Summarising Data10 minutes
Toolbox Summary - Variance and Spread10 minutes
Why the Practice Assignment is after the Graded Assignment10 minutes
Optional Reading - Variance10 minutes

2 assignmentsTotal 60 minutes

Variance - Practice for Final Assignment30 minutes
Test Yourself: Variance30 minutes

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!

What's included

4 videos6 readings2 assignments

4 videosTotal 17 minutes

The Normal Distribution3 minutes
Normal Distribution and Excel6 minutes
Standard Normal Distribution and the Central Limit Theorem5 minutes
Z statistics versus t statistics2 minutes

6 readingsTotal 60 minutes

Download workbooks on Normal Distribution10 minutes
At the end of this module - your final Excel file should look like this10 minutes
Toolbox Summary - The Normal Distribution10 minutes
Toolbox Summary - The Central Limit Theorem10 minutes
Why the Practice Assignment is after the Graded Assignment10 minutes
Optional Reading - The Normal Distribution10 minutes

2 assignmentsTotal 60 minutes

Normal Distribution - Practice for Final Assignment30 minutes
Test Yourself: Normal Distribution 30 minutes

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!

What's included

4 videos8 readings3 assignments

4 videosTotal 20 minutes

Statistical Inference5 minutes
Steps of Hypothesis Testing6 minutes
Z-test for a One Sample Hypothesis Test6 minutes
t-test for a One Sample Hypothesis Test4 minutes

8 readingsTotal 80 minutes

Download the Module 5 Workbooks10 minutes
At the end of this module - your final Excel file should look like this10 minutes
Toolbox Summary - Statistical Inference10 minutes
Toolbox Summary - Hypothesis Testing10 minutes
Hypothesis Testing for One Sample Tests10 minutes
Why the Practice Assignment is after the Graded Assignment10 minutes
Optional Reading - Statistical Inference10 minutes
Summary of the Course and Next Steps10 minutes

3 assignmentsTotal 90 minutes

Statistical Inference - Practice for Final Assignment30 minutes
Test Yourself: Statistical Inference30 minutes
Final Assignment - Excel Skills for Statistics and Data Analysis: Essentials30 minutes

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

What's included

8 readings

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Instructor

Instructor ratings

(25 ratings)

Assoc Prof Prashan S. M. Karunaratne

28 Courses1,676,677 learners

Offered by

Macquarie University

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Reviewed on Jul 3, 2025

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

Reviewed on Sep 19, 2025

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

Reviewed on Aug 21, 2025

المحتوي جيد ولكن بسيط لم يدخل في تفاصيل كثيرة، طريقة العرض رائعة والأسئلة متنوعة وتقيش فهم المتعلم للمحتوي بشكل متتابع لضمان فهمه للنقاط الحيوية

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