Statistics and Data Analysis with Excel: Essentials

Macquarie University introduces statistical reasoning through Excel. Variance and normal distributions lead into inference, with optional spreadsheet lessons for learners who need additional tool practice. This is a foundation for understanding an analysis rather than a catalog of advanced spreadsheet shortcuts. The distinction matters when choosing between statistics and Excel training.

What you will learn

• Describe variation within a dataset.
• Relate a normal distribution to observations.
• Explain what statistical inference adds to a summary.

Who this suits

Beginners; no previous statistics or Excel training is required. Basic computer literacy and comfort with numbers are helpful.

Before you enroll

Choose an exercise that makes the assumptions visible. A calculated result needs interpretation in the context of the sample, measurement method and question being investigated.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Summarize a small fictional dataset in Excel. Explain how two samples can share an average while differing substantially in their spread.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

How YellowCourse describes and checks learning resources.