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Learning Excel: Data Analysis

Intermediate 3.7 hours English Course Certificate
SkillsExcelData analysisStatisticsHypothesis testingProbabilitySpreadsheets

Is this course right for you?

Our take
How far can a spreadsheet alone carry your analysis? This LinkedIn Learning course pushes Excel toward real statistics.

Good for: Adding statistical analysis technique to your Excel skills.

Skip if: You are new to Excel or want Python/R-based analysis.

In three-plus hours it works through foundational statistics — mean, median, standard deviation — then probability, hypothesis testing and more, all inside Excel. That makes it a practical intermediate step for people already comfortable in Excel who want real analytical technique, and the wrong fit if you're new to Excel or you'd rather analyse in Python or R. You reach it through a LinkedIn Learning subscription (usually a free trial first; free via many libraries), with a separate Microsoft 365 licence needed for Excel. The certificate records the coursework rather than certifying it. The statistical techniques it teaches hold up regardless of tool (as of 2026).

Comparison · LBS

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About this course

Learning Excel: Data Analysis shows how far a spreadsheet can take your analysis. Across about three and a half hours you work through foundational statistics — mean, median, standard deviation — then move into probability, hypothesis testing, Bayesian analysis and regression, applying each to realistic business questions in Excel, and reading the output so the numbers translate into a decision.

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Instructor

CF
Curt Frye
LinkedIn Learning instructor

Taught by Curt Frye, a veteran spreadsheet and analytics author known for making statistical analysis approachable in Excel.

Frequently asked questions

Some help. It focuses on using Excel for data analysis — sorting, filtering, functions, pivot tables, and basic statistical tools — so it assumes you can already navigate a spreadsheet and enter formulas. It is not a complete Excel-from-scratch course. If Excel is entirely new, do a basics course first; if you know your way around a spreadsheet, this builds toward analysing data with it.

In Excel. It teaches data analysis and statistical techniques using Excel's own tools and functions — not Python, R, or any programming. So it suits people who want to analyse data within the spreadsheet they already use rather than learn a coding language. If your goal is programmatic analysis, a Python or R course fits better; this keeps everything in Excel.

Using Excel to analyse data: organising and cleaning data, formulas and functions for analysis, pivot tables for summarising, charts for visualising, and Excel's statistical and analysis tools for drawing insights. It aims to take you from holding data in a spreadsheet to genuinely analysing it, which is a practical, widely-used skill across business roles that rely on Excel.

Not by default — it runs on LinkedIn Learning, which is subscription-based — but a free trial is common, and many public libraries and universities give members full access at no cost. Check whether a library card or an institution you belong to already provides LinkedIn Learning before paying, since that quietly unlocks this course and the whole catalogue.

Yes, you earn a LinkedIn Learning completion certificate for your profile. Treat it as a signal of professional development rather than a formal qualification — data-analysis skill is shown by what you can actually do with a spreadsheet. The real value is being able to analyse data confidently in Excel, which shows up in your work more than the certificate.
Paid
LinkedIn Learning subscription
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