Statistics and data analysis involve collecting, analysing, interpreting and presenting data to stakeholders to enhance their decision-making.
Statistics and Data Analysis with Excel: Essentials
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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
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
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
Details to know
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Recently updated!
March 2025
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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- Gain a foundational understanding of a subject or tool
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There are 5 modules in this course
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 videos7 readings2 assignments1 discussion prompt
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 assignments1 discussion prompt
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 assignments1 discussion prompt
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 videos7 readings3 assignments1 discussion prompt
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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