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Excel Basics for Data Analysis

Excel Basics for Data Analysis is a beginner-level online course from Coursera in Data Analytics. It is structured in 5 modules with 4 stated learning outcomes, over 12h 55m. Learners rate it 4.7/5 from 11K ratings on Coursera.

Part of our Data Analytics courses collection, where we compare it against 9 other courses.

★★★★★4.7(11K reviews) English

Course highlights

Provider Coursera
Duration 12h 55m
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.7★ (11K reviews)
Price Check price Free

What you’ll learn

Display working knowledge of Excel for Data Analysis.
Perform basic spreadsheet tasks including navigation, data entry, and using formulas.
Employ data quality techniques to import and clean data in Excel.
Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.

Level and time commitment

Coursera lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.
Time commitment: 12h 55m.
It is self-paced, so that figure is the material, not a fixed schedule.

What this course covers

5 modules

The 5-part outline Coursera publishes for this course, across 12h 55m.

Module 1 · Introduction to Data Analysis Using Spreadsheets
Module 2 · Getting Started with Using Excel Spreadsheets
Module 3 · Cleaning & Wrangling Data Using Spreadsheets
Module 4 · Analyzing Data Using Spreadsheets
Module 5 · Final Project

What learners rate it

4.7
★★★★★
11K ratings

Rated 4.7/5 by 11K learners on Coursera (checked 25 Aug 2026).

This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →

How this page is put together

Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 25 August 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course Provider Rating Price Duration Why pick this one
Excel Basics for Data Analysis This Coursera 4.7★ Check price 12h 55m Most popular — 0 learners
Introduction to Data Analytics Coursera 4.8★ Check price 11h 38m Highest rated (4.8★ from 20.8K reviews)
AWS Cloud Practitioner Essentials Coursera 4.8★ Check price 35h 48m Beginner-friendly · 35h 48m
ChatGPT Advanced Data Analysis Coursera 4.8★ Check price 10h 52m Quickest to finish (10h 52m)
See all Data Analytics courses →

Where Data Analytics leads

Roles we map to Data Analytics on 10courses. This is our own mapping of subject to job, not a placement claim by Coursera.

Data Analyst

Browse every course we track for one of these — courses for data analysts.

Common questions

How much does Excel Basics for Data Analysis cost?

Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.

Does Excel Basics for Data Analysis come with a certificate?

Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

How long does Excel Basics for Data Analysis take?

Coursera lists it at 12h 55m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.

Is Excel Basics for Data Analysis suitable for beginners?

Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.

What does Excel Basics for Data Analysis cover?

It is organised into 5 modules, starting with Introduction to Data Analysis Using Spreadsheets and going on to Getting Started with Using Excel Spreadsheets, Cleaning & Wrangling Data Using Spreadsheets, Analyzing Data Using Spreadsheets, Final Project. The full outline is on this page.