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Google Data Analytics Professional Certificate

4.8(130,000)·2.4M enrolled
Beginner 182 hours English Professional CertificateFREE
Editor's Pick
The most enrolled data analytics credential on Coursera for a reason: structured, job-connected, and genuinely beginner-accessible. Best entry point for career changers.

About this course

The Google Data Analytics Professional Certificate is the most enrolled data analyst program on Coursera, with 2.4 million 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.

What separates this from a generic data course is Google's hiring infrastructure behind it. Completers are added to the Google Data Analytics Certificate Talent Community, which connects directly to employers including Google itself and hundreds of US companies that recognise the credential. For someone targeting a junior data analyst role, the combination of a recognisable brand name, structured curriculum, and job placement support makes this a stronger starting point than most university-adjacent alternatives at this price.

The course works best for people who are switching careers from a non-technical background and want a credentialed pathway rather than a self-assembled curriculum. If you already work with SQL daily or have a statistics background, the Google Advanced Data Analytics certificate is a more appropriate step.

What you'll learn

Clean, organise, and transform data using spreadsheets and SQL
Write SQL queries to extract and aggregate data from relational databases
Build interactive dashboards and visualisations in Tableau
Perform basic statistical analysis and data wrangling in R
Complete a portfolio-ready case study to show in job applications
Apply the data analysis process: Ask, Prepare, Process, Analyse, Share, Act

This course includes

182h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
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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.

Requirements

  • No prior technical experience required
  • A computer with internet access
  • Willingness to commit 10 hours per week across approximately 6 months

Who this course is for

  • Career changers with no prior data or analytics background
  • Professionals in operations, admin, or support roles looking to move into data
  • Recent graduates who want a job-market credential alongside a degree
  • Anyone who wants structured, Google-branded grounding before tackling Python-heavy courses

About this provider

CO
Coursera
University-backed online learning platform. 142M learners, 7,000+ courses from 325+ institutions.
Visit Coursera →

Frequently asked questions

For someone with no analytics background targeting a junior data analyst role, yes. The curriculum is solid, the credential is recognised by a growing list of employers, and 2.4 million learners have completed it. The realistic outcome is a junior or entry-level analyst role — it won't compete with a Master's in Data Science for senior positions.
Google estimates 6 months at 10 hours per week, putting it around 60 weeks of calendar time at that pace. Faster learners with some spreadsheet experience typically finish in 3–4 months. The content is self-paced so you can compress or stretch it.
The program focuses on R rather than Python for statistical work. SQL and spreadsheets are the primary tools. If Python is your target, Google's Advanced Data Analytics certificate covers it at the intermediate level, or consider the IBM Data Science Professional Certificate which is Python-first.
The core certificate is beginner-level: SQL, spreadsheets, Tableau, and intro R. The Advanced certificate is the follow-on: deeper Python, regression and machine learning basics, and more complex statistical methods. They're designed to stack — do the core first, then advanced.
You can audit individual courses for free, but the Professional Certificate credential and graded assignments require a Coursera subscription (approximately $49/month). Most learners complete it in 3–6 months, making the total cost $150–$300.
Junior data analyst, data analyst associate, business analyst, and operations analyst roles are the most common outcomes. The Google Talent Community connects completers to partner employers including Google, Hulu, Deloitte, and hundreds of others who have agreed to recognise the credential.
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