Google · on Coursera

Google Data Analytics Professional Certificate

4.8(180,000) on Coursera·3.7M enrolled
Beginner 182 hours English Professional CertificateFREE
SkillsSpreadsheetsSQLRPython (intro)TableauData cleaningData visualisationData storytelling

Is this course right for you?

Our take
A strong starting point if you are switching into data analysis from a non-technical background and want a recognised credential. Audit is free; the certificate needs a Coursera subscription, so the cost depends on how fast you finish.

Good for: career changers who want a credentialed, guided route into a junior analyst role.

Skip if: you already work with SQL or statistics, or want an advanced qualification.

The draw is not the teaching alone but what sits behind it: a recognisable name and a hiring community that employers actually look at. It assumes no experience and walks you through the everyday analyst stack, ending in a portfolio project you can show. Finishing quickly keeps the cost down, since you pay by the month.

It is an entry-level foundation, not an advanced qualification, and the job-support side is strongest in the US. If you already use SQL daily or have a stats background, Google's Advanced Data Analytics certificate is the better fit. Google refreshed the programme in 2026 with Python and AI-assisted analysis, so the material reflects how analysts work now.

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About this course

The Google Data Analytics Professional Certificate is one of the most enrolled data analyst programs on Coursera, with millions of learners. Designed from the ground up for career changers, it assumes no prior experience and moves through the full analyst stack: data cleaning in spreadsheets, SQL for querying databases, visualisation in Tableau, and introductory R for statistical analysis. Eight courses, roughly 182 hours of content, culminating in a capstone where you build and present a case study portfolio project.

Instructor

GC
Google Career Certificates
Coursera instructor
2.4M+ learners8 courses4.8 instructor rating

Delivered by Google's in-house Career Certificates team — a group of Google employees and instructional designers who built the program specifically to train the type of analyst Google and its partner companies actually hire.

Frequently asked questions

For a beginner targeting a first data analyst role, yes — if you finish it and build a portfolio. The skills are real and the credential is widely recognised. Treat it as a starting point rather than a guarantee.

It is built as a degree alternative, and many employers accept it for entry-level data roles. Entry-level analyst jobs commonly start around $55,000 to $70,000, above median pay for roles that do not need a four-year degree.

Usually not by itself. Most employers now hire on demonstrated skills, so your portfolio, how you present your work, and your job-search approach matter as much as the certificate.

It is designed for complete beginners with no experience. The main challenge is consistency — about 10 hours a week over six months — rather than difficulty.

Entry-level roles commonly start between $55,000 and $70,000, with reported averages higher for those who bring some experience. Location and background change this a lot.

As of the 2026 update, yes — it now includes an introduction to Python for data analysis, alongside spreadsheets, SQL, R and Tableau. Earlier versions were R-only, so this is recent.

About six months at 10 hours a week (roughly 182 hours). Full-time learners often finish in two to three months.

No — the certificate itself does not expire. But tools and practices change, so keeping your skills current still matters.
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