Statistics and data analysis involve collecting, analysing, interpreting and presenting data to stakeholders to enhance their decision-making.
Excel Skills for Statistics and Data Analysis: Essentials
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Excel Skills for Statistics and Data Analysis: Essentials
Instructor: Assoc Prof Prashan S. M. Karunaratne
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
11 hours to complete
3 weeks at 3 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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There are 7 modules in this course
Welcome to Excel Skills for Statistics and Data Analysis! In this module, we will go through why you need to study this course and what skills you will gain. Additionally, we will go through how the course is structured, and the resources you have along the way. We can't wait to see you progress and master Excel Skills for Statistics and Data Analysis!
What's included
1 video2 readings1 discussion prompt
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
4 videos4 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 videos5 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 videos5 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 videos5 readings2 assignments1 discussion prompt
The course wrap-up involves bringing everything together in the final assignment. Make sure you have attempted each of the Practice Assignments in previous modules before you attempt this Final Assignment. Ensure you understand the assignment requirements to complete it successfully. You've got this!
What's included
1 reading1 assignment
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
9 readings
Instructor
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